近傍電磁界の遠方変換理論と計測評価システムの開発に関する研究
小 林 弘 一
電子情報システム工学科 波動情報システム研究室
(2020 年 12月11 日受理)
Study on Theory of Electromagnetic Near-Field to Far-Field Transformation
and Development of Measurement Evaluation System
Hirokazu Kobayashi
Electromagnetic Information System Laboratory,
Department of Electronics and Information Systems Engineering
Abstract
In this study, we discuss the near-field to far-field transformation (NFFFT) theory for radar cross-section (RCS) of
an electrically large object and antenna pattern, which is a comprehensive review of the author's published articles over
the past 10 years. When the electrical size of the object under test is large, the probe antenna that measures the scattered
waves from the object must be placed far away from the object to illuminate the plane electromagnetic wave that is the
measurement premise. Assuming that the measurement frequency is , this distance is generally evaluated by
ଶ
(
, where : wavelength, : speed of light). If
m and
GHz, for example, then
m, which is an unrealistic measurement condition. Therefore, it is conceivable to acquire the scattered
electromag-netic field near the object by some method and theoretically transform it into a far-region. At this time, when an antenna
is under test, the measurement system has one-way relationship of radiation to the antenna and output from the antenna,
and this expression can be strictly given by an integral equation. Conversely, since RCS measurement is two-way in
principle, it is very difficult to formulate these electromagnetic field relationships. However, if a radar image based on
the scattered waves from the object is obtained, it is considered that the far-field generated by the source can be evaluated
by regarding the image as a scattered wave source. Based on this concept, the relationship between the radar image of
the object to be evaluated and the three-dimensional RCS is constructed. The theoretical validity is proved through
numerical calculations and comparative examination using actual measurement data. Above all, it was also found that
the unnecessary waves environmentally caused by the anechoic chamber and the like can be suppressed by appropriately
treating the generated image including the unnecessary waves received at the time of measurement. From this
confirm-ative experiment, it was proved for the electromagnetic wave that the time-axis processing such as the fast Fourier
transform (FFT) and this spatial-axis processing in the image data are equivalent.
キーワード; 近傍電磁界, 遠方界変換
, レーダ断面積(RCS), レーダ画像, 逆合成開口レーダ(ISAR),
焦点化,
円周/円筒走査, アンテナ放射パターン
Keyword; Electromagnetic n
ear-field, far-field transformation, radar cross-section (RCS), radar imaging, inverse
syn-thetic aperture radar (ISAR), focusing, circular/cylindrical scanning, antenna radiation pattern.
Osaka Institute of Technology Vol. 65, No. 2(2020)pp. 31〜54
1.·͕͖͑ ిؾͷେ͖ͳମͷϨʔμஅ໘ੵ(radar cross-section: RCS)ΛैདྷͷԕํྖҬͰܭଌ͢Δͷɺ ࠔΛ͏߹͕ଟ͍ɻরࣹ͕ฏ໘ͱΈͳ͞ΕΔ΄ ͲेԕํͰɺRCSఆٛ͞ΕΔ͔ΒͰ͋Δɻ͜ͷڑ ͷ҆Ͱߟ͍ͯ͠ΔΑ͏ʹɺD Λඃଌఆ ମͷ࠷େੇ๏ɺλΛଌఆपͷͱͯ͠2D2/λͰ ༩͑ΒΕΔ[1]ɻ͜ͷΑ͏ͳঢ়گʹରͯ͠ɺओʹೋͭͷ ରࡦ͕࠾ΒΕ͍ͯΔɻҰͭେ͖ͳύϥϘϥࣹڸͷ։ ޱྖҬͷҐ૬ͷଗͬͨి࣓քʹඃଌఆΛஔ͢Δ ίϯύΫτϨϯδ๏Ͱ͋Γɺطʹ80ʹRCS͓Α ͼΞϯςφܭଌͳͲʹ࣮༻Խ͞Ε͍ͯΔɻ͏Ұͭۙ ྖҬͰͷి࣓քΛऔಘ͠ɺͦͷσʔλ͔Βԕํి࣓ք ΛٻΊΔۙքԕํม๏(near-field to far-field transformation: NFFFT) Ͱ͋Δɻ͜ΕίϯύΫτϨ ϯδ๏ͱಉ࣌ظʹΞϯςφܭଌ๏ͱͯ͠ݚڀ։ൃ͞Ε ͍͕ͯͨɺ2-wayܭଌͱͳΔRCSධՁʹద༻͕ࠔͰ ͋ͬͨɻ͜ͷʹର͠ɺٯ߹։ޱϨʔμ(inverse
synthetic aperture radar: ISAR)ॲཧʹΑͬͯಘΒΕ
ͨϨʔμը૾͔ΒԕํRCSΛٻΊΔཧ͕2000͜Ζ ʹఏҊ͞Εͨ[2]ɻ߹։ޱϨʔμ(SAR)Ϩʔμηϯ αʔͷҠಈʹΑΔ૬ରతʹݻఆͨ͠ඪମͷࢄཚք σʔλΛऔಘ͢Δͷʹର͠ɺISARମͷ(ճస)Ҡಈ ʹΑΔి࣓քΛऔಘ͢Δ໊শͰ͋Γɺֶతʹશ͘ಉ ͡ཧମܥͱͳΔ[3]ɻISAR͋Δ͍SARը૾ࣗମΛࢄ ཚମ͔Βࢄཚ͢Δి࣓քͦͷͷͱΈΔ͜ͱ͕Ͱ͖ɺ ͜ΕΛجʹ͢ΔͱԕํͰͷRCSύλʔϯ͕ධՁͰ͖Δͱ ߟ͑Δɻ ಈͷൖݯ͔Βͷతͳ݁ՌͰ͋Δͱͯ͠ ྑ͍͠ɺݯͱ؍ଌͷؒͷՁతͳݯ͕ݪҼͱͯ͠ ྑ͍ɻສݪҼ͕͋ͬͯ݁Ռ͕͋ΔΑ͏ʹɺ͋Δྖ Ҭͷి࣓ք͕ԿΒ͔ͷํ๏Ͱ͔ΕɺଞͷྖҬͰͷి ࣓քཧతʹ༧ଌͰ͖Δɻ͢ͳΘͪNFFFTͱɺऔಘ ͨ͠ඃଌఆͷपΓͷి࣓ք͔ΒଞͷྖҬͰͷి࣓քΛ ධՁ͢Δ૯শͰ͋Δɻ্ड़ͷϨʔμը૾ରͷՁ తͳݯͱΈΔ͜ͱ͕Ͱ͖ɺඃܭଌͷࢄཚใ͕ แ͞Ε͍ͯΔͱਪఆͰ͖Δɻ݁ہͷͱ͜Ζɺখ͞ͳ ݯͷू߹ͱͯ͠ͷϨʔμը૾͕ཧߏஙͰ͖Εɺ֘ ࢄཚମͷԕํRCS͕ධՁՄೳͱͳΔ[4,5]ɻຊݚڀ͜ ͷมཧͷֶతͳఆࣜͱ࣮ࡍతͳଌఆ্ͷߟΛٞ ͢ΔͷͰ͋Δ[6]ɻ ISAR/SARʹ͓͚Δ௨ৗͷԠ༻ͰɺϨʔμͱඪମ ؒͷڑ͕ޓ͍ʹԕํྖҬͰߏ͞Ε͓ͯΓɺ࣮༻্Կ Βͷͳ͍ɻ͔͠͠ͳ͕Βɺ͜͜Ͱٞ͢ΔϨʔμ ը૾ʹΑΔNFFFTޓ͍ʹۙྖҬͰܭଌσʔλΛऔಘ ͢Δख๏Ͱ͋Δ[7,8]ɻ͜ͷ݁Ռɺେ͖͘ೋͭͷ৺ࣄ ͕༧͞ΕΔɻҰͭۙͰஔ͞ΕΔϓϩʔϒΞϯς φͱඃܭଌؒͷڑ͕େ͖͘มԽ͢ΔͰ͋Γɺ͜ Ε͔ΒಘΒΕΔܭଌσʔλʹେ͖ͳڧ͕ࠩੜ͡Δɻ ͜Ε͕Ϩʔμը૾ͷ(য)ϘέͱͳͬͯݱΕΔɻԕํ RCSੜը૾͔Β༠ಋ͢ΔͷͰɺେ͖ͳޡ͕ࠩൃੜ͢ Δ͜ͱߟ͑ΒΕΔɻͦ͜Ͱɺ͜ͷΛࠀ͢ΔͨΊ ʹɺஶऀඃܭଌʹখ͞ͳಋମٿΛԾఆ͠ɺఆࣜԽ Λݫີʹߦͬͨ[9,10]ɻԕํม্ɺ͜Εੵॲཧͷ ม࠲ඪʹԠͨࣗ͡ಈॏΈ͚Ͱ͋ΔͷͰɺযڑͷ Ձతͳิਖ਼ͱΈΔ͜ͱ͕Ͱ͖Δ༗ޮͳํ๏Ͱ͋Δɻ ͏Ұͭͷ৺ࣄɺԕํྖҬʹͳ͍ۙྖҬͰͷ ಛ༗ͷࣄͱͳΔଟॏͷࣹʹΑΔ݁Ռ͕ͲͷΑ͏ʹӨ ڹ͢Δ͔Ͱ͋Δɻྫ͑, ೋຕͷฏ൘͕֯ʹަࠩͨ͠ ೋ໘ίʔφʔϦϑϨΫλΛزԿޫֶͰ͍͏ޫઢཧͰߟ ͑Δͱ͔Γқ͍ɻϨʔμͷૹड৴Ξϯςφ͕͜ͷλʔ ήοτͱԕํڑͷؔʹ͋Δͱ͖ɺૹ৴Ξϯςφ͔Β ์ࣹ͞Εͨಈ(ޫઢ) ͷਐߦํͱɺೋຕͷަฏ൘ Ͱೋճࣹ͠Ϩʔμʹͬͯ͘Δಈޓ͍ʹฏߦͱͳ Δɻͭ·Γɺԕํཱ͕͍݅֬ͯ͠Δ͜ͱʹଞͳΒͳ͍ɻ NFFFTܭଌͰɺ͜ͷঢ়گΛ࠶ݱ͢Δ͜ͱ͕ࠔͱͳΔɻ ۙྖҬͰɺೖࣹޫઢͱࣹޫઢฏߦʹͳΔ͜ͱ ͳ͘ɺଟॏࣹΛੜ͢ΔମͷNFFFTਖ਼֬ʹRCSΛ ܭଌͰ͖ͳ͍ͷͰͳ͍͔ͱ͍͏ࠜڌʹͳ͍ͬͯΔɻߤ ۭػΛྫʹͱΔͱɺ͜ͷଟॏࣹۭؾऔΓೖΕޱʹΑ Δڞৼࣹɺ͋Δ͍ෳͷฏ൘ঢ়ͷ෦Ґ͕ަ͍ͯ͠ Δ߹ʹ૬͢ΔͱࢥΘΕΔ[11]ɻ ද1ݱࡏߟ͑ΒΕ͍ͯΔRCSͱΞϯςφܭଌʹର ͢Δ֤छม๏Λൺֱͨ͠ͷͰ͋ΔɻॳͷNFFFT େ͖ͳిؾΛͭΞϯςφܭଌʹରͯ͠ݚڀ͞Ε͖ͯ ͨܦҢ͕͋Δɻಉද্ཝͷੵํఔࣜʹΑΔํ๏ɺϓ ϩʔϒࠪܥʹԠͯ͡ݫີͳؔࣜΛఆࣜԽͨ͠౷త ͳํ๏Ͱ͋ΓɺݱࡏͷΞϯςφNFFFTΛ༻͍ͨࢢൢιϑ τΣΞͷࠜװͱͳ͍ͬͯΔɻΞϯςφܭଌʹಛԽͨ͠ ੵํఔࣜʹΑΔNFFFTͰɺRCSܭଌෆՄೳͰ͋Δɻ ͦ͜ͰɺಉදͷPO-NFFFTɺAF-NFFFTɺ͓ΑͼISAR-NFFFT
ͳͲ͕RCSܭଌ๏ͱͯ͠ఏҊ͞Ε͍ͯΔɻͨͩɺલऀͷ ೋͭԿΕฏ໘রࣹ͕݅Ͱ͋Γɺ࣮༻্ͷ͔ͤͱ ͳ͍ͬͯͨɻ͞ΒʹPO-NFFFTɺཧޫֶ๏(physical
optics: PO)Λมղੳͷجຊཧͱ͍ͯ͠ΔͷͰɺϓ
1.·͕͖͑ ిؾͷେ͖ͳମͷϨʔμஅ໘ੵ(radar cross-section: RCS) ΛैདྷͷԕํྖҬͰܭଌ͢Δͷɺ ࠔΛ͏߹͕ଟ͍ɻরࣹ͕ฏ໘ͱΈͳ͞ΕΔ΄ ͲेԕํͰɺRCSఆٛ͞ΕΔ͔ΒͰ͋Δɻ͜ͷڑ ͷ҆Ͱߟ͍ͯ͠ΔΑ͏ʹɺD Λඃଌఆ ମͷ࠷େੇ๏ɺλΛଌఆपͷͱͯ͠2D2/λͰ ༩͑ΒΕΔ[1]ɻ͜ͷΑ͏ͳঢ়گʹରͯ͠ɺओʹೋͭͷ ରࡦ͕࠾ΒΕ͍ͯΔɻҰͭେ͖ͳύϥϘϥࣹڸͷ։ ޱྖҬͷҐ૬ͷଗͬͨి࣓քʹඃଌఆΛஔ͢Δ ίϯύΫτϨϯδ๏Ͱ͋Γɺطʹ80ʹRCS͓Α ͼΞϯςφܭଌͳͲʹ࣮༻Խ͞Ε͍ͯΔɻ͏Ұͭۙ ྖҬͰͷి࣓քΛऔಘ͠ɺͦͷσʔλ͔Βԕํి࣓ք ΛٻΊΔۙքԕํม๏(near-field to far-field transformation: NFFFT) Ͱ͋Δɻ͜ΕίϯύΫτϨ ϯδ๏ͱಉ࣌ظʹΞϯςφܭଌ๏ͱͯ͠ݚڀ։ൃ͞Ε ͍͕ͯͨɺ2-wayܭଌͱͳΔRCSධՁʹద༻͕ࠔͰ ͋ͬͨɻ͜ͷʹର͠ɺٯ߹։ޱϨʔμ(inverse
synthetic aperture radar: ISAR)ॲཧʹΑͬͯಘΒΕ
ͨϨʔμը૾͔ΒԕํRCSΛٻΊΔཧ͕2000͜Ζ ʹఏҊ͞Εͨ[2]ɻ߹։ޱϨʔμ(SAR)Ϩʔμηϯ αʔͷҠಈʹΑΔ૬ରతʹݻఆͨ͠ඪମͷࢄཚք σʔλΛऔಘ͢Δͷʹର͠ɺISARମͷ(ճస)Ҡಈ ʹΑΔి࣓քΛऔಘ͢Δ໊শͰ͋Γɺֶతʹશ͘ಉ ͡ཧମܥͱͳΔ[3]ɻISAR͋Δ͍SARը૾ࣗମΛࢄ ཚମ͔Βࢄཚ͢Δి࣓քͦͷͷͱΈΔ͜ͱ͕Ͱ͖ɺ ͜ΕΛجʹ͢ΔͱԕํͰͷRCSύλʔϯ͕ධՁͰ͖Δͱ ߟ͑Δɻ ಈͷൖݯ͔Βͷతͳ݁ՌͰ͋Δͱͯ͠ ྑ͍͠ɺݯͱ؍ଌͷؒͷՁతͳݯ͕ݪҼͱͯ͠ ྑ͍ɻສݪҼ͕͋ͬͯ݁Ռ͕͋ΔΑ͏ʹɺ͋Δྖ Ҭͷి࣓ք͕ԿΒ͔ͷํ๏Ͱ͔ΕɺଞͷྖҬͰͷి ࣓քཧతʹ༧ଌͰ͖Δɻ͢ͳΘͪNFFFTͱɺऔಘ ͨ͠ඃଌఆͷपΓͷి࣓ք͔ΒଞͷྖҬͰͷి࣓քΛ ධՁ͢Δ૯শͰ͋Δɻ্ड़ͷϨʔμը૾ରͷՁ తͳݯͱΈΔ͜ͱ͕Ͱ͖ɺඃܭଌͷࢄཚใ͕ แ͞Ε͍ͯΔͱਪఆͰ͖Δɻ݁ہͷͱ͜Ζɺখ͞ͳ ݯͷू߹ͱͯ͠ͷϨʔμը૾͕ཧߏஙͰ͖Εɺ֘ ࢄཚମͷԕํRCS͕ධՁՄೳͱͳΔ[4,5]ɻຊݚڀ͜ ͷมཧͷֶతͳఆࣜͱ࣮ࡍతͳଌఆ্ͷߟΛٞ ͢ΔͷͰ͋Δ[6]ɻ ISAR/SARʹ͓͚Δ௨ৗͷԠ༻ͰɺϨʔμͱඪମ ؒͷڑ͕ޓ͍ʹԕํྖҬͰߏ͞Ε͓ͯΓɺ࣮༻্Կ Βͷͳ͍ɻ͔͠͠ͳ͕Βɺ͜͜Ͱٞ͢ΔϨʔμ ը૾ʹΑΔNFFFTޓ͍ʹۙྖҬͰܭଌσʔλΛऔಘ ͢Δख๏Ͱ͋Δ[7,8]ɻ͜ͷ݁Ռɺେ͖͘ೋͭͷ৺ࣄ ͕༧͞ΕΔɻҰͭۙͰஔ͞ΕΔϓϩʔϒΞϯς φͱඃܭଌؒͷڑ͕େ͖͘มԽ͢ΔͰ͋Γɺ͜ Ε͔ΒಘΒΕΔܭଌσʔλʹେ͖ͳڧ͕ࠩੜ͡Δɻ ͜Ε͕Ϩʔμը૾ͷ(য)ϘέͱͳͬͯݱΕΔɻԕํ RCSੜը૾͔Β༠ಋ͢ΔͷͰɺେ͖ͳޡ͕ࠩൃੜ͢ Δ͜ͱߟ͑ΒΕΔɻͦ͜Ͱɺ͜ͷΛࠀ͢ΔͨΊ ʹɺஶऀඃܭଌʹখ͞ͳಋମٿΛԾఆ͠ɺఆࣜԽ Λݫີʹߦͬͨ[9,10]ɻԕํม্ɺ͜Εੵॲཧͷ ม࠲ඪʹԠͨࣗ͡ಈॏΈ͚Ͱ͋ΔͷͰɺযڑͷ Ձతͳิਖ਼ͱΈΔ͜ͱ͕Ͱ͖Δ༗ޮͳํ๏Ͱ͋Δɻ ͏Ұͭͷ৺ࣄɺԕํྖҬʹͳ͍ۙྖҬͰͷ ಛ༗ͷࣄͱͳΔଟॏͷࣹʹΑΔ݁Ռ͕ͲͷΑ͏ʹӨ ڹ͢Δ͔Ͱ͋Δɻྫ͑, ೋຕͷฏ൘͕֯ʹަࠩͨ͠ ೋ໘ίʔφʔϦϑϨΫλΛزԿޫֶͰ͍͏ޫઢཧͰߟ ͑Δͱ͔Γқ͍ɻϨʔμͷૹड৴Ξϯςφ͕͜ͷλʔ ήοτͱԕํڑͷؔʹ͋Δͱ͖ɺૹ৴Ξϯςφ͔Β ์ࣹ͞Εͨಈ(ޫઢ) ͷਐߦํͱɺೋຕͷަฏ൘ Ͱೋճࣹ͠Ϩʔμʹͬͯ͘Δಈޓ͍ʹฏߦͱͳ Δɻͭ·Γɺԕํཱ͕͍݅֬ͯ͠Δ͜ͱʹଞͳΒͳ͍ɻ NFFFTܭଌͰɺ͜ͷঢ়گΛ࠶ݱ͢Δ͜ͱ͕ࠔͱͳΔɻ ۙྖҬͰɺೖࣹޫઢͱࣹޫઢฏߦʹͳΔ͜ͱ ͳ͘ɺଟॏࣹΛੜ͢ΔମͷNFFFTਖ਼֬ʹRCSΛ ܭଌͰ͖ͳ͍ͷͰͳ͍͔ͱ͍͏ࠜڌʹͳ͍ͬͯΔɻߤ ۭػΛྫʹͱΔͱɺ͜ͷଟॏࣹۭؾऔΓೖΕޱʹΑ Δڞৼࣹɺ͋Δ͍ෳͷฏ൘ঢ়ͷ෦Ґ͕ަ͍ͯ͠ Δ߹ʹ૬͢ΔͱࢥΘΕΔ[11]ɻ ද1ݱࡏߟ͑ΒΕ͍ͯΔRCSͱΞϯςφܭଌʹର ͢Δ֤छม๏Λൺֱͨ͠ͷͰ͋ΔɻॳͷNFFFT େ͖ͳిؾΛͭΞϯςφܭଌʹରͯ͠ݚڀ͞Ε͖ͯ ͨܦҢ͕͋Δɻಉද্ཝͷੵํఔࣜʹΑΔํ๏ɺϓ ϩʔϒࠪܥʹԠͯ͡ݫີͳؔࣜΛఆࣜԽͨ͠౷త ͳํ๏Ͱ͋ΓɺݱࡏͷΞϯςφNFFFTΛ༻͍ͨࢢൢιϑ τΣΞͷࠜװͱͳ͍ͬͯΔɻΞϯςφܭଌʹಛԽͨ͠ ੵํఔࣜʹΑΔNFFFTͰɺRCSܭଌෆՄೳͰ͋Δɻ ͦ͜ͰɺಉදͷPO-NFFFTɺAF-NFFFTɺ͓ΑͼISAR-NFFFT
ͳͲ͕RCSܭଌ๏ͱͯ͠ఏҊ͞Ε͍ͯΔɻͨͩɺલऀͷ ೋͭԿΕฏ໘রࣹ͕݅Ͱ͋Γɺ࣮༻্ͷ͔ͤͱ ͳ͍ͬͯͨɻ͞ΒʹPO-NFFFTɺཧޫֶ๏(physical optics: PO)Λมղੳͷجຊཧͱ͍ͯ͠ΔͷͰɺϓ ϩʔϒฏ໘ࠪʹݶఆ͞Εɺ݁Ռతʹฏ໘্ͷ։ޱ ද1 RCS͓ΑͼΞϯςφܭଌʹର͢Δ֤छۙքԕํม๏
Tab.1 NFFFT methods for RCS and antenna measurement.
ͷϑʔϦΤมͱͳΔಛ͕͋Δɻ͜Εฏ໘͕ೖ ࣹ͢ΔݶΓɺRCSܭଌݪཧతʹΞϯςφܭଌͱՁͱ ͳΔ͜ͱ͕͔ΔɻҰํɺࡾ൪ͷAF-NFFFTஶऀ͕ ఏҊ͍ͯ͠Δม๏Ͱ͋ΓɺࢄతͳΞϨΠϑΝΫλʔ
(array factor: AF)ΛۙքʹରԠ͍ͤͯ͞ΔͷͰɺ
ࠪܥ੍ݶ͞Εͳ͍ɻ͔͠͠ɺAFࢄϑʔϦΤڃͱ ՁͰ͋ΔͷͰɺ͜Εฏ໘রࣹ͕݅ͱͳΔɻ࠷ޙ ͷཝɺISAR-NFFFTຊͰৄड़͍ͯ͠ΔϨʔμը૾ʹج ͮ͘ม๏Ͱ͋ΔɻٿࠪͰͷఆࣜ·ཱͩ֬͞Ε͍ͯ ͳ͍͕ɺཧతʹՄೳͱࢥΘΕΔɻ ஶऀ͕ఏҊ͍ͯ͠Δը૾ϕʔεͷNFFFTʹΑΔ࣮ଌ ݁ՌɺزԿޫֶճંཧ(GTD)Λͬͨཧܭࢉͱ ڻ͘΄Ͳྑ͘Ұக͓ͯ͠Γ[12,13]ɺຊNFFFTཧͷߴ ͍༗ޮੑͱԠ༻ੑ͕ظͰ͖ΔɻҰํɺ্هͷଟॏࣹ λʔήοτͷػցతߏʹґଘͨ͠ి࣓քͷݪཧతͳ ݱͰ͋ΔͷͰɺ͜ΕΛԿΒ͔ͷཧ͋Δ͍ॲཧ͚ͩ Ͱࠀ͢ΔͷɺҰےೄͰͳ͍ͱ༧͍ͯ͠Δɻ͜ͷ Α͏ͳഎܠͷͱɺຊͰೋ໘ίʔφʔϦϑϨΫλΛ ʹΑΔNFFFTܭଌΛߦ͍ɺͦͷݱ͕Ͳͷఔͷͷͳ ͷ͔ௐΔ͜ͱʹ͢Δɻࠓޙɺଟॏࢄཚʹؔ͢ΔGTDͷ ཧܭࢉΛߦ͏ҙͰ͋Γɺࠓճऔಘσʔλͷߟʹ ཹΊΔ͜ͱͱ͍ͨ͠ɻ ͯ͞पͷΑ͏ʹɺݯ͔ΒͷಈҰൠʹڑͱ֯ ʹґଘ͍ͯ͠Δɻಛʹࡾ࣍ݩۭؒʹ͓͚Δ֯ಛੑ ύλʔϯͱݺΕ͍ͯΔ૬ରతͳؔͰ͋Δɻͦͷ” ύλʔϯ”ݯ͔ΒͷڑʹԠͯ͡มԽ͢Δ͕ɺ͋Δ ྖҬΛڥʹมԽ͠ͳ͍ڑมʹಠཱͨ͠ܗʹͳΔɻ͜ ͷڥͷݯʹ͍ۙଆΛզʑۙྖҬ͓ΑͼFresnel ྖҬɺ֎ଆΛԕํྖҬͱݺΜͰ͍Δɻຊ͓ΑͼͰ ͍ٞͯ͠ΔΑ͏ʹɺ͜ͷڑҰൠʹݯͷେ͖͞ͱ पͷؔͰ༩͑ΒΕΔɻ͜ͷԕํྖҬʹ͓͚Δి࣓ քͷؔɺΞϯςφͰͷ์ࣹύλʔϯɺϨʔμ ͰϨʔμஅ໘ੵ(RCS)ͱͯ͠ɺઃܭɺ։ൃɺܭଌͷ ࡍͷॏཁͳࢦඪͱͳ͍ͬͯΔɻ ຊͰ, ిؾͷେ͖ͳମΛҙࣝ͠, ԁपΛؚΉ ԁࠪͰͷϨʔμը૾ʹج͍ͮͨۙքԕํมʹͭ ͍ͯɺཧͷఆࣜͱܭଌ݁ՌΛ͍ࣔͯ͠Δɻ͜ͷม๏ ͷΦϦδφϧจݙ[2]Ͱ༩͑ΒΕΔ͕ɺϨʔμը૾ͷ ੜʹԕํͰͷදࣔࣜΛ༻͍͓ͯΓɺ͔ͭࠪ໘ೋ ࣍ݩԁपʹݶఆ͞Ε͍ͯΔɻ͜Εʹର͠ɺஶऀੵ มͷఆࣜԽͷࡍɺෳͷখ͞ͳಋମٿΛԾఆ͠ɺۙ ྖҬͰͷը૾ੜͷݫີͳఆࣜԽͰযԽؔΛ༠ಋ͠ɺ ۙྖҬͰͷϨʔμը૾ʹΑΔมͱࡾ࣍ݩԁࠪͷ ఆࣜԽʹରԠ͍ͯ͠Δ[4, 5]ɻैདྷͷදࣔࣜͱൺֱ͢Δ ͱɺ͜ͷؔੵͷࡍͷযॲཧΛิਖ਼͢ΔҼࢠͱߟ ͑ΒΕɺମ͕ڧ͍ඇରশੑͷ߹ʹ༗ޮʹ࡞༻͢Δ ͷͱߟ͑ΒΕΔɻ͜ͷͨΊɺൺֱతখ͞ͳి҉ࣨʹେ ͖ͳඃܭଌΛ࣮ͯ҆͠ఆͨ݁͠Ռ͕ಘΒΕΔͷͰ ͳ͍͔ͱظ͍ͯ͠Δɻ ඃܭଌ͕ҰൠͷΞϯςφͷ߹ɺΞϯςφͷ࣋ͭ ࣹಛੑ(RCS)͕ܭଌ͞ΕɺΞϯςφͷೖྗ(͋Δ͍ ग़ྗ)ͷΠϯϐʔμϯεʹΑͬͯൺֱతେ͖͘มԽ͢ ΔɻRCSܭଌͷૹड৴ͷૹ৴ΛΞϯςφͷೖྗʹೖ Εସ͑ΔͱɺΞϯςφͭۙքͱը૾σʔλ͕औಘ͞ ΕΔɻ୯७ʹNFFFTॲཧ͢ΔͱɺΞϯςφۙը૾ʹΑ Δԕํք͕ܭࢉ͞ΕΔͱਪଌͰ͖Δɻ͜Εɺ͍ΘΏΔ
Ξϯςφͷԕํ์ࣹύλʔϯʹ૬͢Δɻ֯ਲ਼ϗʔϯΞ ϯςφͰ֬ೝͨ͠ͱ͜Ζɺมύλʔϯϗʔϯͷԕํ ܭࢉͱ΄΅Ұகͨ݁͠Ռͱͳͬͨɻେ͖ͳମͷRCS ͋Δ͍Ξϯςφͷܭଌʹɺ૬ͷઃඋ͕ඞཁͰ͋Δɻ ͜ͷͨΊɺಉҰมॲཧͰRCSͱΞϯςφ͕ܭଌͰ͖Δ ͜ͱɺେ͖ͳඅ༻ରޮՌͱͳΔɻ ҰํɺຊݚڀͰɺܭଌͱมॲཧΛҰׅͯ͠ԁʹਐ ΊΔͨΊɺҰ࿈ͷܭଌͱܭࢉॲཧΛ࣮ߦ͢ΔιϑτΣ Ξίʔυͷ։ൃ߹Θͤͯߦ͍ͬͯΔɻޙड़͢ΔΑ͏ʹɺ ͜ͷίʔυʹɺٿɺฏ൘ͷۙքΛ༩͑ΔཧϞσϧ ΛΈࠐΜͰ͓ΓɺNFFFTͷઃఆਫ਼ͷࣄલධՁɺ࣌ؒ ࣠ͰͷෆཁআڈΛతͱͨ͠ߴϑʔϦΤม(fast Fourier transform: FFT)ʹΑΔࣄޙॲཧରԠՄೳͱ ͍ͯ͠Δɻ ࠷ޙʹຊจͷߏΛه͓ͯ͘͠ɻ͜ͷޙʹଓ͘ୈ2 અͱ3અͰԁपࠪͱԁࠪʹ͓͚Δۙքԕํฦؐ ཧͷݫີͳఆࣜΛߦ͏ɻୈ4અͰɺ͜ͷཧΛجʹ ։ൃͨ͠૯߹ධՁιϑτΣΞγεςϜKOSIPͷ֓ཁͱ γϛϡϨʔγϣϯܭࢉྫͱ࣮ଌมྫΛࣔ͠ɺΞϯςφ ύλʔϯܭଌͷՄೳੑͱଌఆڥʹؔٞ͢͠Δɻୈ5 અͰɺ؆୯ͳۚଐฏ൘ΛϞσϧʹͯ͠ɺܭࢉཧͱ࣮ ଌม݁Ռͱͷൺֱݕ౼Λߦ͍ɺ߹ΘͤͯલઅͰهड़͠ ͨKOSIPͷಛʹ͍ͭͯݴٴ͢Δɻୈ6અͰɺೋ໘ ίʔφʔϦϑϨΫλΛλʔήοτʹͯ͠ɺۙྖҬͱԕ ํྖҬʹབྷΜͰɺλʔήοτ෦Ͱͷଟॏࣹʹ͍ͭͯ ߟ͢Δɻ͜͜Ͱͷߟͷ݁ՌɺߴϑʔϦΤมʹΑ Δ࣌ؒྖҬͰͷෆཁѹॲཧͱը૾ۭؒʹ͓͚Δෆཁ আڈॲཧՁͰ͋Δ͜ͱΛࣔ͢ɻୈ7અͰຊݚڀ ͷ݁ɺͰಈి࣓քͷԕํྖҬʹؔ͢ΔߟΛ ·ͱΊ͍ͯΔɻ 2.ԁपࠪͷNFFFTཧ ਤ1 ʹೋ࣍ݩԁपࠪͷ࠲ඪܥΛࣔ͢ɻϚΠΫϩ ৴߸ܘρ0Ͱ360ํҐํʹճస͢ΔϓϩʔϒΞ ϯςφ͔Βૹड৴͞ΕΔɻԁࠪͰɺz-࣠ํʹ Ҡಈ͢ΔɻಉਤͷΩͰࣔ͢ଆͷྖҬը૾ੜྖҬ Ͱ͋Γɺܘρ0ͷϓϩʔϒࠪ໘ΑΓখ͘͞ɺ࠷େੇ ๏DͷඃܭଌΛғ͍ͬͯΔ(D ≤ 2ρmax≤ 2ρ0)ɻಉ ਤʹࣔ͢ϓϩʔϒΞϯςφͷࢦੑΛP (β)Ͱ༩͑Δɻ β ΞϯςφϘΞαΠτ͔࣠Βଌͬͨ֯Ͱ͋Γɺͦͷ ϘΞαΠτํճస࣠ͷத৺Λ͍͍ͯΔɻྫ͑ɺ P (β) = 1, cos β Ͱɺʑࠪ໘ʹਨͳํͱઢํ ͷͳిؾతμΠϙʔϧΛද͢ɻ·ͨɺ෯Λβ0Ͱ༩ ਤ1 ϞϊελςΟοΫԁपࠪNFFFTͷ࠲ඪܥ
Fig.1 Coordinate system of mono-static circular scanning NFFFT. ͑ͨΨεϏʔϜΞϯςφP (β) = exp[− ln 2(β/β0)2] ͱද͞ΕΔ. ઌͣɺߍਖ਼ܭଌ͔Βٞ͢Δɻߍਖ਼༻ͷࢄཚମΛճస ࣠ͷத৺ͷը૾ੜҬʹஔ͢Δɻܗঢ়ಋମٿɺ൘ɺ ίʔφʔϦϑϨΫλͳͲͷཧ͕͔͍ͬͯΔ͕ଟ ͘࠾༻͞ΕΔɻ͜͜Ͱɺൺֱతখ͍͞αΠζͷࢄཚମ ͱ͢Δɻड৴৴߸ΛEs 0(k)ͱ͢Δͱ(k = 2πf/c,f:ܭଌ प,c:ޫ)ɺԕํྖҬͰͷҰൠදࣔͱͯ͠ɺ E0s(k) = Q(k)A0(k)exp(−2jkρ0) 2√πρ2 0 (1) Λߟ͑Δɻ্ࣜͰɺपʹґଘ͢ΔҼࢠ Q(k)ૹ ৴ΞϯςφͷిքϨϕϧʹൺྫ͢ΔྔͰ͋ΓɺA0(k) ࢄཚମͷޙํࢄཚʹؔ͢ΔྔͰ͋ΔɻA0(k)RCS ͱσ =|A0(k)|2 ͷؔʹ͋Δɻྫ͑ɺܘaͷిؾ తʹখ͞ͳಋମٿA0(k) = 3√πk2a3ɺిؾతʹେ͖ ͳҙܗঢ়ͰਨೖࣹํͷӨஅ໘ੵ͕S ͷ߹ɺ A0(k) =−jkS/√πͱͳΔ[1]ɻߍਖ਼ϓϩηεͰɺૹ৴ ΞϯςφͷQ(k)(1)ࣜͷٯࢉΛͱΓɺ Q(k) = 2√πρ20 Es 0(k) A0(k) exp(2jkρ0) (2) Ͱ༩͑Δ͜ͱ͕Ͱ͖Δɻ ࣍ʹɺඃܭଌΛը૾ੜҬͷ෦ʹஔ͠ɺԁप ࠪͷ߹ɺेࡉ͔͍εςοϓδϕ0ͰϓϩʔϒΛํҐํ 0≤ ϕ0≤ 2πʹࠪ͢Δɻपࡉ͔͍εςοϓδf ͰेͳଳҬfmin ≤ f ≤ fmaxΛ֬อ͠ɺEs(k, ϕ0)Λ औಘ͢Δɻ͜ͷࠪܦ࿏ඃଌఆͷۙྖҬͰ͋Δͷ ͰɺEs(k, ϕ 0)(1)ʹΘͣɺޙड़͢ΔNFFFTॲ ཧͷೖྗσʔλͱ͢Δɻ
Ξϯςφͷԕํ์ࣹύλʔϯʹ૬͢Δɻ֯ਲ਼ϗʔϯΞ ϯςφͰ֬ೝͨ͠ͱ͜Ζɺมύλʔϯϗʔϯͷԕํ ܭࢉͱ΄΅Ұகͨ݁͠Ռͱͳͬͨɻେ͖ͳମͷRCS ͋Δ͍Ξϯςφͷܭଌʹɺ૬ͷઃඋ͕ඞཁͰ͋Δɻ ͜ͷͨΊɺಉҰมॲཧͰRCSͱΞϯςφ͕ܭଌͰ͖Δ ͜ͱɺେ͖ͳඅ༻ରޮՌͱͳΔɻ ҰํɺຊݚڀͰɺܭଌͱมॲཧΛҰׅͯ͠ԁʹਐ ΊΔͨΊɺҰ࿈ͷܭଌͱܭࢉॲཧΛ࣮ߦ͢ΔιϑτΣ Ξίʔυͷ։ൃ߹Θͤͯߦ͍ͬͯΔɻޙड़͢ΔΑ͏ʹɺ ͜ͷίʔυʹɺٿɺฏ൘ͷۙքΛ༩͑ΔཧϞσϧ ΛΈࠐΜͰ͓ΓɺNFFFTͷઃఆਫ਼ͷࣄલධՁɺ࣌ؒ ࣠ͰͷෆཁআڈΛతͱͨ͠ߴϑʔϦΤม(fast Fourier transform: FFT)ʹΑΔࣄޙॲཧରԠՄೳͱ ͍ͯ͠Δɻ ࠷ޙʹຊจͷߏΛه͓ͯ͘͠ɻ͜ͷޙʹଓ͘ୈ2 અͱ3અͰԁपࠪͱԁࠪʹ͓͚Δۙքԕํฦؐ ཧͷݫີͳఆࣜΛߦ͏ɻୈ4અͰɺ͜ͷཧΛجʹ ։ൃͨ͠૯߹ධՁιϑτΣΞγεςϜKOSIPͷ֓ཁͱ γϛϡϨʔγϣϯܭࢉྫͱ࣮ଌมྫΛࣔ͠ɺΞϯςφ ύλʔϯܭଌͷՄೳੑͱଌఆڥʹؔٞ͢͠Δɻୈ5 અͰɺ؆୯ͳۚଐฏ൘ΛϞσϧʹͯ͠ɺܭࢉཧͱ࣮ ଌม݁Ռͱͷൺֱݕ౼Λߦ͍ɺ߹ΘͤͯલઅͰهड़͠ ͨKOSIPͷಛʹ͍ͭͯݴٴ͢Δɻୈ6અͰɺೋ໘ ίʔφʔϦϑϨΫλΛλʔήοτʹͯ͠ɺۙྖҬͱԕ ํྖҬʹབྷΜͰɺλʔήοτ෦Ͱͷଟॏࣹʹ͍ͭͯ ߟ͢Δɻ͜͜Ͱͷߟͷ݁ՌɺߴϑʔϦΤมʹΑ Δ࣌ؒྖҬͰͷෆཁѹॲཧͱը૾ۭؒʹ͓͚Δෆཁ আڈॲཧՁͰ͋Δ͜ͱΛࣔ͢ɻୈ7અͰຊݚڀ ͷ݁ɺͰಈి࣓քͷԕํྖҬʹؔ͢ΔߟΛ ·ͱΊ͍ͯΔɻ 2.ԁपࠪͷNFFFTཧ ਤ1 ʹೋ࣍ݩԁपࠪͷ࠲ඪܥΛࣔ͢ɻϚΠΫϩ ৴߸ܘρ0 Ͱ360ํҐํʹճస͢ΔϓϩʔϒΞ ϯςφ͔Βૹड৴͞ΕΔɻԁࠪͰɺz-࣠ํʹ Ҡಈ͢ΔɻಉਤͷΩͰࣔ͢ଆͷྖҬը૾ੜྖҬ Ͱ͋Γɺܘρ0ͷϓϩʔϒࠪ໘ΑΓখ͘͞ɺ࠷େੇ ๏D ͷඃܭଌΛғ͍ͬͯΔ(D ≤ 2ρmax≤ 2ρ0)ɻಉ ਤʹࣔ͢ϓϩʔϒΞϯςφͷࢦੑΛP (β)Ͱ༩͑Δɻ β ΞϯςφϘΞαΠτ͔࣠Βଌͬͨ֯Ͱ͋Γɺͦͷ ϘΞαΠτํճస࣠ͷத৺Λ͍͍ͯΔɻྫ͑ɺ P (β) = 1, cos β Ͱɺʑࠪ໘ʹਨͳํͱઢํ ͷͳిؾతμΠϙʔϧΛද͢ɻ·ͨɺ෯Λβ0Ͱ༩ ਤ1 ϞϊελςΟοΫԁपࠪNFFFTͷ࠲ඪܥ
Fig.1 Coordinate system of mono-static circular scanning NFFFT. ͑ͨΨεϏʔϜΞϯςφP (β) = exp[− ln 2(β/β0)2] ͱද͞ΕΔ. ઌͣɺߍਖ਼ܭଌ͔Βٞ͢Δɻߍਖ਼༻ͷࢄཚମΛճస ࣠ͷத৺ͷը૾ੜҬʹஔ͢Δɻܗঢ়ಋମٿɺ൘ɺ ίʔφʔϦϑϨΫλͳͲͷཧ͕͔͍ͬͯΔ͕ଟ ͘࠾༻͞ΕΔɻ͜͜Ͱɺൺֱతখ͍͞αΠζͷࢄཚମ ͱ͢Δɻड৴৴߸ΛEs 0(k)ͱ͢Δͱ(k = 2πf/c,f:ܭଌ प,c:ޫ)ɺԕํྖҬͰͷҰൠදࣔͱͯ͠ɺ E0s(k) = Q(k)A0(k)exp(−2jkρ0) 2√πρ2 0 (1) Λߟ͑Δɻ্ࣜͰɺपʹґଘ͢ΔҼࢠ Q(k)ૹ ৴ΞϯςφͷిքϨϕϧʹൺྫ͢ΔྔͰ͋ΓɺA0(k) ࢄཚମͷޙํࢄཚʹؔ͢ΔྔͰ͋ΔɻA0(k) RCS ͱσ =|A0(k)|2 ͷؔʹ͋Δɻྫ͑ɺܘaͷిؾ తʹখ͞ͳಋମٿA0(k) = 3√πk2a3ɺిؾతʹେ͖ ͳҙܗঢ়ͰਨೖࣹํͷӨஅ໘ੵ͕S ͷ߹ɺ A0(k) =−jkS/√πͱͳΔ[1]ɻߍਖ਼ϓϩηεͰɺૹ৴ ΞϯςφͷQ(k)(1)ࣜͷٯࢉΛͱΓɺ Q(k) = 2√πρ20 Es 0(k) A0(k) exp(2jkρ0) (2) Ͱ༩͑Δ͜ͱ͕Ͱ͖Δɻ ࣍ʹɺඃܭଌΛը૾ੜҬͷ෦ʹஔ͠ɺԁप ࠪͷ߹ɺेࡉ͔͍εςοϓδϕ0ͰϓϩʔϒΛํҐํ 0≤ ϕ0≤ 2πʹࠪ͢Δɻपࡉ͔͍εςοϓδf ͰेͳଳҬfmin ≤ f ≤ fmaxΛ֬อ͠ɺEs(k, ϕ0)Λ औಘ͢Δɻ͜ͷࠪܦ࿏ඃଌఆͷۙྖҬͰ͋Δͷ ͰɺEs(k, ϕ 0)(1)ʹΘͣɺޙड़͢ΔNFFFTॲ ཧͷೖྗσʔλͱ͢Δɻ ԁ प ࠪ NFFFT ࠪ ԁ प ͷ RCS ࢉ ग़ ධ Ձ Ͱ ͋ Δɻภૹड৴Ξϯςφͷภ໘:ਨ(V)͓Αͼਫ ฏ(H)ʹґଘ͍ͯ͠ΔͷͰɺ߹Θͤͯ4௨Γͷภ߹ͤ VV/VH/HV/HH͕ఆٛͰ͖Δɻೋ࣍ݩԁपࠪɺߴ͞ํ ͷαΠζʹΑΔૹड৴Ξϯςφͷ͕ؔԕํքྖҬʹ ͳ͍ͬͯΔ͜ͱ͕લఏͱͳΔɻଞํɺҰํ͚ͩʹࠪ ͢ΔҰ࣍ݩࠪඃܭଌମΛแΈࠐΉʹෆेͰ͋Δ ͠ɺۭؒͷύλʔϯ͔͠ධՁͰ͖ͳ͍ڪΕ͋Δɻ যԽิਖ਼ॲཧʹͨ͠ఆࣜΛߦ͏ɻϨʔμը૾͔ ΒRCSΛಘΔNFFFTͷجຊεςοϓΛࣔ͢: (1)ը૾Ҭ ʹ͓͚Δࢄཚத৺ͷͱͯ͠ඃܭଌΛද͢ը૾ ψ(x, y)Λੜ͢ΔۙࢄཚքΛ༠ಋ͢Δɺ(2)ը૾͕ੜ ͞ΕͨͳΒɺ͜ͷࢄཚத৺͔Βͷد༩Λੵදࣔ͠ɺ ඃܭଌͷ֎෦ͷࢄཚքΛಘΔɺ(3)࠷ޙʹୈ(1)ࣜΛ ͬͯඃܭଌͷԕํʹ͓͚ΔRCSΛٻΊΔɻ ҎԼɺిؾతʹখ͞ͳࢄཚମΛϞσϧͱͯ͠ఆࣜԽΛ ਐΊΔ͕ɺ͜Εཧతʹࢄཚத৺Λ༩͑ΔͷͰ͋Γɺ Ұൠͷମ͜ͷݩʑͷࢄཚத৺ͷ૯ͱͯ͠දݱͰ͖ ΔͷͰɺຊͰఏҊ͢ΔNFFFTಉ༷ʹҰൠͷମʹద ༻Ͱ͖Δͱߟ͑Δɻ ۩ମతͳযԽؔʹؔ͠ɺ؆୯ͷͨΊೋ࣍ݩࠪʹ ͯৄ͘͠ௐΔɻϨʔμը૾ψ(x, y)ࢄཚମͷزԿܗ ঢ়ͱࡐྉʹґଘ͢Δ͕ɺϓϩʔϒΞϯςφͷಛੑͷܭ ଌܥʹಠཱ͍ͯ͠Δɻͦ͜Ͱɺ(x = x1, y = y1)ʹஔ͔ Εͨిؾతʹখ͞ͳࢄཚମͷը૾Λdeltaؔ: ψ(x, y) = Cδ(x−x1)δ(y−y1) (3) ͰදݱͰ͖Δͱߟ͑ΔɻC ࢄཚମ͕ࢄཚ͢Δࡍͷਖ਼ نԽͰ͋Δɻిؾతʹখ͞ͳશͯͷମͷࢄཚ पͷೋʹൺྫ͢Δͱ͍͏جຊࣄ࣮͔Βɺؔࣜ A(k) = ˜Ak2͕ಘΒΕΔɻ͜͜ͰɺA˜ओʹࡐྉߏʹ ΑܾͬͯΊΒΕɺ kʹಠཱ͍ͯ͠Δɻճసରশ ͷ߹ ϕ0ʹಠཱ͍ͯ͠Δ(ྫ:ܘaͷಋମٿ ˜ A = 3√πa3)ɻࠓɺਖ਼نԽΛC = ˜AͰ༩͑Α͏ɻ͜
ͷͱ͖ɺ࠲ඪiρ0ρ0= ixρ0cos ϕ0+iyρ0sin ϕ0ʹҐஔͨ͠
A(k) = ˜Ak2ͷΛͭిؾͷখ͞ͳجຊࢄཚମʹର ͠ɺԁप্ͷiρ0ρ0= ixρ0cos ϕ0+iyρ0sin ϕ0Ͱ؍ଌ͠ ͨͱ͖ͷड৴ΛٻΊΔͱɺ Es(k, ϕ 0, ρ0) (4) = Q(k)P2(β)k 2A(k)˜ √ 4π exp(−2jk|iρρ− iρρ0|) � �iρρ− iρ0ρ0 � �2 ͱͳΔɻه߸i୯ҐϕΫτϧΛද͍ͯ͠Δɻ͜ΕΑΓɺ શͯͷํҐํͱपʹΘͨΔۙίώʔϨϯτքͷ ૯ɺ ψ(x, y) = ∫ ∞ 0 ∫ 2π 0 Es(k, ϕ0, ϕ)F (iρρ, iρ0ρ0, k)dkdϕ0 (5) Ͱ༩͑ΒΕΔɻ্ࣜͷॏΈؔF ࣍ࣜͷযԽؔͰ ͋Δ: F (iρρ, iρρ0, k) (6) = g(iρρ, iρρ0, k) � �iρρ− iρρ0��2 Q(k)P2(β) exp(2jk|iρρ− iρ0ρ0|). ্ͷؔʹΑͬͯɺࠪ໘্ͷ༷ʑͳ࠲ඪͰड৴͢Δ ࢄཚքͷؒͷҐ૬ͱৼ෯͕దਖ਼ʹิਖ਼͞ΕΔɻޙड़͢Δ Α͏ʹɺࣜ(3)Ͱఆٛͨ͠deltaؔΛ༻͍Δͱɺ۩ମ తͳg(iρρ, iρ0ρ0, k)ͷද͕ࣔٻΊΒΕɺ݁ہͷͱ͜Ζɺ ؔFۙྖҬʹ͓͚Δযิਖ਼Ҽࢠͱͯ͠ৼΔ͏ ͜ͱ͕͔Δɻ ࠲ඪiρ1ρ1= ixx1+iyy1ʹஔ͔Εͨిؾతʹখ͞ͳࢄཚ ମʹର͠ɺ(4)ࣜ Es 1(k, ϕ0, ρ0) (7) = Q(k)P2(β1) k2A(k)˜ √ 4π exp(−2jk|iρ1ρ1− iρ0ρ0|) � �iρ1ρ1− iρ0ρ0 � �2 ͱͳΔɻ͜ͷͱ͖ͷը૾ؔ࣍ࣜͷΑ͏ʹ༩͑ΒΕΔ: ψ(x, y) = √A˜ 4π ∫ ∞ 0 ∫ 2π 0 g(iρρ, iρ0ρ0, k) (8) ·P 2(β 1) P2(β) |iρρ− iρ0ρ0| 2 |iρ1ρ1− iρ0ρ0| 2e 2jksk2dkdϕ 0.
͜͜Ͱɺs =|iρρ−iρ0ρ0|−|iρ1ρ1−iρ0ρ0|Ͱ͋Δɻࢄཚମ
ͷۙͰɺiρρ→ iρ1ρ1Ͱ͋ΔͷͰɺβ→ β1ͱͳͬͯɺ s≈ (x1− x) cos α + (y1− y) sin α (9) ͕ಘΒΕΔɻ֯αϕΫτϧiρ0ρ0− iρρͱixͷ֯͢ Λࢦ͢(ਤ1ࢀর)ɻ͜Εα = α(iρρ, iρρ0)ͷؔͰ ͋Δɻࠪ໘ը૾ੜ໘ΛแΉͷͰ(ρ0> ρmax), ϕ0 ͕0͔Β2πͰมԽ͢Δͱ͖ɺα2π૿Ճ͢ΔɻҎ্Α Γɺը૾ؔ ψ(x, y)≈√A˜ 4π ∫ ∞ 0 ∫ 2π 0 g(iρρ, iρ0ρ0, k) (10)
· exp{2jk[(x1− x) cos α + (y1− y) sin α]k2}dkdϕ0
ͱۙࣅͰ͖Δɻ
kͱϕ0Λkx= 2k cos αͱky= 2k sin αʹมม
͢ΔͱɺྖҬͷؔࣜ
dkxdky = 4kα′(iρρ, iρ0ρ0)dkdϕ0, (11)
͕ಘΒΕΔͷͰɺը૾ؔ(10)࣍ͷΑ͏ʹදࣔͰ͖Δ: ψ(x, y)≈ A˜ 8√π ∫ ∞ −∞ ∫ ∞ −∞ g(iρρ, iρ0ρ0, k) α′(iρρ, iρ 0ρ0) (12)
· exp{jkx(x1− x) + jky(y1− y)}kdkxdky.
͜͜ͰɺؔgΛ g(iρρ, iρ0ρ0, k) = 2α′(iρρ, iρ0ρ0) kπ3/2 (13) Ͱ༩͑Δɻ͜ͷଥੑ࣍ͷΑ͏ʹ͔ͯ֬͠ΊΒΕΔɻ deltaؔͷఆٛࣜ (2π)2δ(x− x1)δ(y− y1) (14) = ∫ ∞ −∞ ∫ ∞ −∞
exp{jkx(x1−x) + jky(y1−y)}dkxdky
Λ͍[14]ɺC = ˜Aͱͯ͠, iρρ→ iρ1ρ1ͷͱ͖ͷ(12) ࣜΛܭࢉ͢Δͱɺ(3)ࣜͷψ(x, y) = Cδ(x−x1)δ(y−y1) ʹؼண͢Δɻ ֯αϕ0ʹΑΓ۩ମతͳද͕ࣔࣜ༠ಋͰ͖Δɻϕ0 ʹؔ͢ΔඍԋࢉΛߦ͏ͱɺ α′(iρρ, iρ0ρ0) = ρ2 0χ(iρρ, iρ0ρ0) |iρρ− iρ0ρ0| , (15) χ(iρρ, iρ0ρ0) = 1− ρ ρ0cos(ϕ− ϕ0) ͕ٻΊΒΕΔɻ͜ΕΑΓɺิਖ਼Ҽࢠͱͯͪ͠ʹ͕࣍ࣜ ٻΊΒΕΔ: g(iρρ, iρρ0, k) = 2ρ2 0χ(iρρ, iρ0ρ0) π3/2k|iρρ− i ρ0ρ0| . (16) ैͬͯɺযԽؔ F (iρρ, iρρ0, k) = 2ρ 2 0χ(iρρ, iρ0ρ0) π3/2kQ(k)P2(β)e 2jk|iρρ−iρ0ρ0| (17) ͱද͞ΕΔɻҰํɺࢦੑΞϯςφͷ֯β͔࣍ࣜΒ ܭࢉͰ͖Δ:
cos β = χ(iρρ, iρ0ρ0)
2|iρρ− iρ0ρ0| . (18) ࣜ(17)ʹରԠ͢ΔैདྷͷযԽؔχ(iρρ, iρ0ρ0) = 1Ͱ͋Δ[2,8]ɻ͜Εࣜ(15)Λݟ͔ͯΔΑ͏ʹɺ ρ0→ ∞ (ϓϩʔϒ͕ԕํʹଘࡏ)͔ɺρ→ 0 (ࢄཚମ͕ ࠲ඪͷݪʹଘࡏ)ͷͲͪΒ͔Λҙຯ͍ͯ͠Δɻ͜ͷ͜ ͱɺࣜ(16)ΛऔΓೖΕΔ͜ͱͰɺΑΓখ͞ͳి҉ࣨ Ͱͷܭଌɺͭ·Γࢄཚத৺͕ݪ͔Βภ৺͍ͯ͠Δܭ ଌͰͷ͕ղܾͰ͖Δͱ͍͏͜ͱΛ͍ࣔࠦͯ͠Δɻ Ҏ্ΑΓɺRCSͷ۩ମతͳද͕ࣔՄೳͱͳͬͨɻશͯ ͷϨʔμը૾ঢ়ࢄཚத৺ͷͰ͋ΓɺͦΕނɺࢄ ཚք͜ΕΒࢄཚத৺͔Βͷٿ໘ͷॏͶ߹Θͤͱͯ͠ ද͢͜ͱ͕Ͱ͖Δɻ͜ΕΛࣜͰදݱ͢Δͱɺ Es(k, ϕ0, ρ0) (19) = k 2Q(k) √ 2π ∫∫ Ω ψ(x, y)P2(β)e 2jk|iρρ−iρ0ρ0)| |iρρ− iρ0ρ0)| dxdy ͱͳΔɻલड़(3)ࣜͷ(x, y)ࣜ(7)ʹద༻Ͱ͖Δɻ ͦ͜Ͱɺࣜ(5)ͱ(19)ͷੵมରʹண͢Δͱɺදࣔ ࣜ(19)ҙͷρ0ʹରཱ͢͠ΔͷͰɺϨʔμஅ໘ੵ ͷఆٛࣜ: σ = 4π��rEs(r)/Ei 0 � �2 ΑΓɺೋ࣍ݩͰͷఆٛࣜ σ(k, ϕ0) = lim ρ0→∞ 4πρ20 � � � �E s(k, ϕ 0, ρ0) Ei 0 � � � � 2 (20) ͕ಘΒΕΔɻ͞Βʹɺࣜ(19)ͷEs(k, ϕ 0, ρ0)Ͱρ0→ ∞ ͱ͠ɺೖࣹքʹରͯؔࣜ͠Ei 0= Q(k)e−jkρ0/ρ0 Λ ͏ͱɺP (β)→ 1, |iρρ−iρ0ρ0| ≈ ρ0−ρ cos(ϕ−ϕ0)ͱͰ ͖ΔͷͰɺ࠷ऴతʹ࣍ͷද͕ࣔࣜಋ͔ΕΔ: σ(k,ϕ0) = k4 � � � � ∫∫ Ω
ψ(x, y)e2jk(x cos ϕ0+y sin ϕ0)dxdy
� � � � 2 . (21) ͜Ε͕ԁपࠪʹ͓͚ΔϨʔμը૾͔ΒԕํͰͷRCSΛ ༩͑Δ࠷ऴతͳެࣜͰ͋Δɻ ؍ଌρ0Λ༗ݶͷ··NFFFTॲཧΛߦ͏ͱɺͦͷڑ ͰͷRCS͕ධՁͰ͖ΔɻۙڑRCSͦͷڑͰେ͖ ͘มಈ͢Δ߹͕͋ΔɻࣗಈंিಥࢭϨʔμͳͲɺ Ϩʔμରମͱͷڑ͕༗ݶͷ߹ʹ૬͢Δɻ͜ͷ Α͏ͳϨʔμͷਫ਼ີͳઃܭʹɺରͷۙڑRCSͷ ධՁ͕༗༻ͳใͱͳΔɻ ্ͯ͞ड़ͷΑ͏ʹɺࠪܘ͕λʔήοτͷαΠζͱ ಉ͡ఔͰ͋Εɺิਖ਼ؔgʹΑΔվળޮՌ͕༧͞ ΕΔɻͭ·Γɺ͍ΘΏΔλʔήοτͷࢄཚத৺͕زԿத ৺͔Βେ͖ͣ͘ΕΔ߹ʹେ͖ͳޮՌ͕ظͰ͖Δɻ͜ ͷྫΛਤ2ʹࣔ͢ɻρ→0 or ρ0→∞ͷͱ͖ɺρ≈ρ0 ͓Α͓ͼg2D(⃗ρ, ⃗ρ0)→1ͱۙ͢Δ͜ͱ͕͔Δɻ ਤ3ຊઅͰࣔͨ͠ཧࣜΛܘͷҟͳΔೋͭͷখ͞ ͳಋମٿͰܭࢉͨ݁͠ՌͰ͋Δɻ͜͜ͰɺϓϩʔϒΞϯ ςφͷࠪܘρ0= 1.5 mɺத৺पf = 1 GHzɺ Ҿεςοϓ0.1ͱ0.5 GHzͰ͋Δɻิਖ਼ؔʹΑΔେ ͖ͳޮՌ͕֬ೝͰ͖Δɻ·ͨ༧͞ΕΔΑ͏ʹɺप εςοϓͷখ͍͞ํ͕ղೳߴ͍͜ͱ͕͔Δɻ 3.ԁࠪNFFFTͷ֦ுཧ લઅͷೋ࣍ݩԁपࠪʹҾ͖ଓ͖ɺຊઅͰࡾ࣍ݩԁ ࠪͷNFFFTʹ͍ͭͯٞ͢Δɻԁࠪԁपࠪ
͕ಘΒΕΔͷͰɺը૾ؔ(10)࣍ͷΑ͏ʹදࣔͰ͖Δ: ψ(x, y)≈ A˜ 8√π ∫ ∞ −∞ ∫ ∞ −∞ g(iρρ, iρ0ρ0, k) α′(iρρ, iρ 0ρ0) (12)
· exp{jkx(x1− x) + jky(y1− y)}kdkxdky.
͜͜ͰɺؔgΛ g(iρρ, iρ0ρ0, k) = 2α′(iρρ, iρ0ρ0) kπ3/2 (13) Ͱ༩͑Δɻ͜ͷଥੑ࣍ͷΑ͏ʹ͔ͯ֬͠ΊΒΕΔɻ deltaؔͷఆٛࣜ (2π)2δ(x− x1)δ(y− y1) (14) = ∫ ∞ −∞ ∫ ∞ −∞
exp{jkx(x1−x) + jky(y1−y)}dkxdky
Λ͍[14]ɺC = ˜Aͱͯ͠, iρρ→ iρ1ρ1ͷͱ͖ͷ(12) ࣜΛܭࢉ͢Δͱɺ(3)ࣜͷψ(x, y) = Cδ(x−x1)δ(y−y1) ʹؼண͢Δɻ ֯αϕ0ʹΑΓ۩ମతͳද͕ࣔࣜ༠ಋͰ͖Δɻϕ0 ʹؔ͢ΔඍԋࢉΛߦ͏ͱɺ α′(iρρ, iρ0ρ0) = ρ2 0χ(iρρ, iρ0ρ0) |iρρ− iρ0ρ0| , (15) χ(iρρ, iρ0ρ0) = 1− ρ ρ0cos(ϕ− ϕ0) ͕ٻΊΒΕΔɻ͜ΕΑΓɺิਖ਼Ҽࢠͱͯͪ͠ʹ͕࣍ࣜ ٻΊΒΕΔ: g(iρρ, iρρ0, k) = 2ρ2 0χ(iρρ, iρ0ρ0) π3/2k|iρρ− i ρ0ρ0| . (16) ैͬͯɺযԽؔ F (iρρ, iρρ0, k) = 2ρ 2 0χ(iρρ, iρ0ρ0) π3/2kQ(k)P2(β)e 2jk|iρρ−iρ0ρ0| (17) ͱද͞ΕΔɻҰํɺࢦੑΞϯςφͷ֯β͔࣍ࣜΒ ܭࢉͰ͖Δ:
cos β = χ(iρρ, iρ0ρ0)
2|iρρ− iρ0ρ0| . (18) ࣜ(17)ʹରԠ͢ΔैདྷͷযԽؔχ(iρρ, iρ0ρ0) = 1Ͱ͋Δ[2,8]ɻ͜Εࣜ(15)Λݟ͔ͯΔΑ͏ʹɺ ρ0→ ∞ (ϓϩʔϒ͕ԕํʹଘࡏ)͔ɺρ→ 0 (ࢄཚମ͕ ࠲ඪͷݪʹଘࡏ)ͷͲͪΒ͔Λҙຯ͍ͯ͠Δɻ͜ͷ͜ ͱɺࣜ(16)ΛऔΓೖΕΔ͜ͱͰɺΑΓখ͞ͳి҉ࣨ Ͱͷܭଌɺͭ·Γࢄཚத৺͕ݪ͔Βภ৺͍ͯ͠Δܭ ଌͰͷ͕ղܾͰ͖Δͱ͍͏͜ͱΛ͍ࣔࠦͯ͠Δɻ Ҏ্ΑΓɺRCSͷ۩ମతͳද͕ࣔՄೳͱͳͬͨɻશͯ ͷϨʔμը૾ঢ়ࢄཚத৺ͷͰ͋ΓɺͦΕނɺࢄ ཚք͜ΕΒࢄཚத৺͔Βͷٿ໘ͷॏͶ߹Θͤͱͯ͠ ද͢͜ͱ͕Ͱ͖Δɻ͜ΕΛࣜͰදݱ͢Δͱɺ Es(k, ϕ0, ρ0) (19) = k 2Q(k) √ 2π ∫∫ Ω ψ(x, y)P2(β)e 2jk|iρρ−iρ0ρ0)| |iρρ− iρ0ρ0)| dxdy ͱͳΔɻલड़(3)ࣜͷ(x, y)ࣜ(7)ʹద༻Ͱ͖Δɻ ͦ͜Ͱɺࣜ(5)ͱ(19)ͷੵมରʹண͢Δͱɺදࣔ ࣜ(19)ҙͷρ0ʹରཱ͢͠ΔͷͰɺϨʔμஅ໘ੵ ͷఆٛࣜ: σ = 4π��rEs(r)/Ei 0 � �2 ΑΓɺೋ࣍ݩͰͷఆٛࣜ σ(k, ϕ0) = lim ρ0→∞ 4πρ20 � � � �E s(k, ϕ 0, ρ0) Ei 0 � � � � 2 (20) ͕ಘΒΕΔɻ͞Βʹɺࣜ(19)ͷEs(k, ϕ 0, ρ0)Ͱρ0→ ∞ ͱ͠ɺೖࣹքʹରͯؔࣜ͠Ei 0= Q(k)e−jkρ0/ρ0 Λ ͏ͱɺP (β)→ 1, |iρρ−iρ0ρ0| ≈ ρ0−ρ cos(ϕ−ϕ0)ͱͰ ͖ΔͷͰɺ࠷ऴతʹ࣍ͷද͕ࣔࣜಋ͔ΕΔ: σ(k,ϕ0) = k4 � � � � ∫∫ Ω
ψ(x, y)e2jk(x cos ϕ0+y sin ϕ0)dxdy
� � � � 2 . (21) ͜Ε͕ԁपࠪʹ͓͚ΔϨʔμը૾͔ΒԕํͰͷRCSΛ ༩͑Δ࠷ऴతͳެࣜͰ͋Δɻ ؍ଌρ0 Λ༗ݶͷ··NFFFTॲཧΛߦ͏ͱɺͦͷڑ ͰͷRCS͕ධՁͰ͖ΔɻۙڑRCSͦͷڑͰେ͖ ͘มಈ͢Δ߹͕͋ΔɻࣗಈंিಥࢭϨʔμͳͲɺ Ϩʔμରମͱͷڑ͕༗ݶͷ߹ʹ૬͢Δɻ͜ͷ Α͏ͳϨʔμͷਫ਼ີͳઃܭʹɺରͷۙڑRCSͷ ධՁ͕༗༻ͳใͱͳΔɻ ্ͯ͞ड़ͷΑ͏ʹɺࠪܘ͕λʔήοτͷαΠζͱ ಉ͡ఔͰ͋Εɺิਖ਼ؔgʹΑΔվળޮՌ͕༧͞ ΕΔɻͭ·Γɺ͍ΘΏΔλʔήοτͷࢄཚத৺͕زԿத ৺͔Βେ͖ͣ͘ΕΔ߹ʹେ͖ͳޮՌ͕ظͰ͖Δɻ͜ ͷྫΛਤ2ʹࣔ͢ɻρ→0 or ρ0→∞ͷͱ͖ɺρ≈ρ0 ͓Α͓ͼg2D(⃗ρ, ⃗ρ0)→1ͱۙ͢Δ͜ͱ͕͔Δɻ ਤ3ຊઅͰࣔͨ͠ཧࣜΛܘͷҟͳΔೋͭͷখ͞ ͳಋମٿͰܭࢉͨ݁͠ՌͰ͋Δɻ͜͜ͰɺϓϩʔϒΞϯ ςφͷࠪܘρ0= 1.5 mɺத৺पf = 1 GHzɺ Ҿεςοϓ0.1ͱ0.5 GHzͰ͋Δɻิਖ਼ؔʹΑΔେ ͖ͳޮՌ͕֬ೝͰ͖Δɻ·ͨ༧͞ΕΔΑ͏ʹɺप εςοϓͷখ͍͞ํ͕ղೳߴ͍͜ͱ͕͔Δɻ 3.ԁࠪNFFFTͷ֦ுཧ લઅͷೋ࣍ݩԁपࠪʹҾ͖ଓ͖ɺຊઅͰࡾ࣍ݩԁ ࠪͷNFFFTʹ͍ͭͯٞ͢Δɻԁࠪԁपࠪ ਤ2 ԁपࠪʹ͓͚Δิਖ਼ؔgͷৼΔ͍
Fig.2 Focus correcting function g for circular scan.
(a) 2-D circular scanning NFFFT configuration
(b) Radar image obtained from (a) parameters
(c) RCS by the radar image obtained from (b)
ਤ3 ԁपࠪNFFFTʹΑΔೋͭͷಋମٿʹΑΔRCS
Fig.3 Theoretical 2-sphere RCS in circular NFFFT.
ਤ4 ԁࠪNFFFTͷ࠲ඪܥ:ࠪ໘ͱը૾ੜྖҬ
Fig.4 Coordinate system of cylindrical scanning NFFFT: scanning surface and imaging area.
໘ʹਨͳඃܭଌͷߴ͞ํͷిؾ͕େ͖͍߹ʹ ༗ޮͰ͋Δɻਤ4ʹԁࠪͷ࠲ඪܥΛࣔ͢ɻجຊతʹ ԁपࠪͱಉ͡มΛ࠾༻͓ͯ͠Γɺԁप࠲ඪʹz-࣠Λ Ճ͑ͨͷͱͳΔɻ͜͜Ͱड़ΔԁࠪNFFFTͰɺ ࠪ໘ʹਨͳਫฏ໘ϞϊελςΟοΫRCS: σ(k, ϕ) ΛٻΊΔۙքσʔλΛఆ͢Δɻ ࠓɺRCSͱը૾ؔͷجຊࣜ(21)ͷࣗવͳԆͱͯ͠ɺ σ(k, ϕ) (22) = k4 � � � � ∫∫∫ V
Ψ(x, y, z)e2jk(x cos ϕ+y sin ϕ)dxdydz
� � � � 2 Λߟ͑Δɻ͜͜ͰɺΨ(x, y, z = r)ඃܭଌͷࡾ࣍ݩ Ϩʔμը૾Ͱ͋ΓɺۙࢄཚքEs near(k, ϕ0, z0)ΑΓɺ Ψ(r) (23) = ∫ ∞ 0 dk ∫ 2π 0 dϕ0 ∫ ∞ −∞ dz0Enears (k, ϕ0, z0)F (r, r0.k)
ͱٻΊΒΕΔɻr0= ixρ0cos ϕ0+iyρ0sin ϕ0+izz0ࠪ
ͷ࠲ඪɺͦͯ͠ F (r, r0, k) = Acalχ(x, y, ϕ0) π3Es cal(k)|r − r0| e2jk(|r−r0|)−ρ0(24) ࡾ࣍ݩԁ࠲ඪܥͷযԽؔͰ͋Γɺԁपࠪͷ ߹ͱಉ͡Α͏ʹɺࠪ໘্ͷҟͳͬͨͰͷࢄཚքͱͷ Ґ૬ɺৼ෯ͷࠩΛิਖ਼͢Δ͜ͱ͕Ͱ͖Δɻ·্ͨࣜʹɺ ߍਖ਼࣌ͷࢄཚମ͔ΒͷσʔλEs cal(k)ʹର͢Δԕํք Acal(k)Λߟྀͨ͠දࣔͱ͍ͯ͠Δɻؔ χ(x, y, ϕ0) = 1− x ρ0 cos ϕ0− y ρ0 sin ϕ0 (25) ԁपࠪͰಋೖͨ͠ิਖ਼ؔͰ͋ΔɻҎԼɺੵදࣔ ࣜ(22)ͱ(23)ʹ͍ͭͯௐΔɻ ઌͣɺߍਖ਼༻ࢄཚମʹΑΔࢄཚքΛ Ecals (k) = E0(k) Acal(k) √ 4πρ2 0 e−2jkρ0 (26) Ͱද͠ɺযԽؔΛૹ৴Ξϯςφͷ։ޱ͔Βͷ์ࣹք E0(k)Ͱ༩͑Δɻ ࣍ʹɺϓϩʔϒΞϯςφͷࢦੑύλʔϯP (β)ʹͭ ͍ͯߟ͑Δɻ͜͜Ͱ, ૹड৴Ξϯςφ͕ಉ͡ͷͱ͢ Δɻ֯β ΞϯςφϘΞαΠτ࣠ilͱɺr0͔Βݟͨ ը૾্ͷrͷํͱͷؒͰ࡞ΒΕΔ֯Ͱ͋Δɻ͜ ͷͱ͖ɺil=−iρ0ρ0, iρ0ρ0= ixcos ϕ0+iysin ϕ0ͷؔ
͕ܭࢉͰ͖ɺ͜ͷ݁ՌɺযԽؔ࣍ࣜͷΑ͏ʹͳΔ: F (r, r0, k) = 2ρ 2 0χ(x, y, ϕ0)e2jk|r−r0| π5/2E 0(k)P2(β)|r − r0| . (27) ্ࣜr1 ʹ͋Δిؾతʹখ͞ͳࢄཚମΛԾఆͯ͠ɺ (24)͔ࣜΒ༠ಋ͍ͯ͠Δɻͭ·ΓɺԕํքΛA(k) ͱ͢ΔͱɺdeltaؔͰ༩͑ͨϨʔμը૾ Φ1(r) = δ(r− r1)A1(k)/k2ΞϯςφύλʔϯؔP (β)ʹಠཱͯ͠ ͍ΔͷͰɺमਖ਼ͨ͠RCSσ1=|A1(k)|2͕ٻΊΒΕΔɻ ࠷ޙ(22)ࣜʹؔ͢ΔͷͰɺ͜ΕΛॻ͖͑Δͱɺ σ(k, ϕ) = k4 � � � � ∫∫ Ω
Φ(x, y)e2jk(x cos ϕ+y sin ϕ)dxdy
� � � � 2 (28) ͱͳΔɻ͜͜ͰɺΩԁࠪͷਫฏஅ໘ʹ͋Δը૾ੜ Ҭ(ਤ1)Ͱ͋ΓɺҰํɺΦ(x, y) Φ(x, y) = ∫ ∞ −∞ Ψ(r)dz (29) Ͱఆٛ͞ΕΔɻ(27)ͱ(23)ࣜΛ(29)ࣜʹೖ͢Δͱɺ Φ(r) (30) = ∫ ∞ 0 dk ∫ 2π 0 dϕ0 ∫ ∞ −∞ dz0Enears (k, ϕ0, z0) χ(x, y, ϕ0) E0(k) T ͕ಘΒΕΔɻ͜͜ͰɺඃੵؔͷT T = 2ρ 2 0 π5/2 ∫ ∞ −∞ e2jk|r−r0| P2(β)|r − r 0| dz (31) Ͱ༩͑ΒΕΔɻ ࠓɺϓϩʔϒΞϯςφແࢦੑͰ͋Δͱ͢Δͱɺ P (β) = 1Ͱ͋ΔͷͰɺ্ࣜ T = 2jρ 2 0 π3/2H (1) 0 (2k|iρρ− iρ0ρ0|) (32) ͱͳͬͯɺHankelؔH0(1)Λͬͯશʹදݱ͞ΕΔɻ ͜͜Ͱɺiρρ = ixx+iyy,iρ0ρ0ਫฏ໘(z = 0)ͷҐஔ ϕΫτϧͰ͋ΔɻHankelؔԁ࠲ඪʹ͓͚Δࣗ༝ۭ ؒͰͷGreenؔͰ͋ΔͷͰɺ͜ͷ͜ͱ͔ΒຊNFFFT ཧͷଥੑ͕ূͰ͖Α͏ɻͳ͓ɺz = 0Ҏ֎ͷਫฏ໘ ʹ͓͚Δը૾ɺͭ·Γɺ͜ͷ໘ͰͷRCSύλʔϯz =ఆ ͱ͢Δ͜ͱͰٻΊΒΕΔ͜ͱཧղͰ͖ΔɻΞϯςφ ʹࢦੑ͕͋Δ߹ɺը૾ੜҬͱϓϩʔϒࠪҬͷ ؒͷڑɺ2k|r−r0| ≫ 1ͷΑ͏ʹҎ্͋Δͷ ͰɺۙతʹධՁ͢ΕΑ͍ɻͦ͜ͰɺఀཹҐ૬๏Λ༻ ͍ͯۙղΛٻΊΔͱɺ݁Ռ࣍ࣜͷΑ͏ʹͳΔɻ T ≈ ρ0e −jk|iρρ−iρ0ρ0|+jπ/4 √πP2(β c)√2k|iρρ− iρ0ρ0| . (33) ͜͜Ͱɺ֯ββc= ρ0χ(x, y, ϕ0)/|iρρ−iρ0ρ0|Ͱ༩͑ ΒΕΔ. ܭଌͨۙ͠ి࣓քEs near(k, ϕ0, z0)Λআ͍ͯɺੵ (30)ͷશͯͷඃੵؔz0ʹಠཱ͍ͯ͠Δɻैͬͯɺ ࡾ࣍ݩԁࠪͷNFFFTͷ࠷ऴతͳެࣜ࣍ࣜͰ༩͑Δ ͜ͱ͕Ͱ͖Δ: Φ(x, y) = ∫ ∞ 0 dk ∫ 2π 0
dϕ0⟨Enears (k, ϕ0)⟩ ˜F (k, ϕ0, x, y).(34)
͜͜ʹɺযԽؔ࣍ࣜͰఆٛ͞ΕΔ: ˜ F (k, ϕ0, x, y) = ρ2 0χ(x, y, ϕ0)ejk|iρρ−iρ0ρ0|+jπ/4 √ πE0(k)P2(βc)√2k|iρρ− iρ0ρ0| .(35) ࣜ(34)ͷܭࢉʹɺਨ࣠ํʹରͯ͠ฏۉԽͨۙ͠ ք ⟨Es near(k, ϕ0)⟩= ∫ ∞ −∞ dz0Enears (k, ϕ0, z0) (36) Λ༻͍Δɻࣜ(28)ͱ(34)ܘρ0ͷԁपࠪNFFFT ͱಉ͡ܗͱͳ͍ͬͯΔ͜ͱ͕͔Δɻ།Ұͷҧ͍য Խؔͷද͚ࣔͩͰ͋Δ[10]ɻ
ͷ࠲ඪɺͦͯ͠ F (r, r0, k) = Acalχ(x, y, ϕ0) π3Es cal(k)|r − r0| e2jk(|r−r0|)−ρ0(24) ࡾ࣍ݩԁ࠲ඪܥͷযԽؔͰ͋Γɺԁपࠪͷ ߹ͱಉ͡Α͏ʹɺࠪ໘্ͷҟͳͬͨͰͷࢄཚքͱͷ Ґ૬ɺৼ෯ͷࠩΛิਖ਼͢Δ͜ͱ͕Ͱ͖Δɻ·্ͨࣜʹɺ ߍਖ਼࣌ͷࢄཚମ͔ΒͷσʔλEs cal(k)ʹର͢Δԕํք Acal(k)Λߟྀͨ͠දࣔͱ͍ͯ͠Δɻؔ χ(x, y, ϕ0) = 1− x ρ0 cos ϕ0− y ρ0 sin ϕ0 (25) ԁपࠪͰಋೖͨ͠ิਖ਼ؔͰ͋ΔɻҎԼɺੵදࣔ ࣜ(22)ͱ(23)ʹ͍ͭͯௐΔɻ ઌͣɺߍਖ਼༻ࢄཚମʹΑΔࢄཚքΛ Ecals (k) = E0(k) Acal(k) √ 4πρ2 0 e−2jkρ0 (26) Ͱද͠ɺযԽؔΛૹ৴Ξϯςφͷ։ޱ͔Βͷ์ࣹք E0(k)Ͱ༩͑Δɻ ࣍ʹɺϓϩʔϒΞϯςφͷࢦੑύλʔϯP (β)ʹͭ ͍ͯߟ͑Δɻ͜͜Ͱ, ૹड৴Ξϯςφ͕ಉ͡ͷͱ͢ Δɻ֯β ΞϯςφϘΞαΠτ࣠ilͱɺr0͔Βݟͨ ը૾্ͷrͷํͱͷؒͰ࡞ΒΕΔ֯Ͱ͋Δɻ͜ ͷͱ͖ɺil=−iρ0ρ0, iρ0ρ0= ixcos ϕ0+iysin ϕ0ͷؔ
͕ܭࢉͰ͖ɺ͜ͷ݁ՌɺযԽؔ࣍ࣜͷΑ͏ʹͳΔ: F (r, r0, k) = 2ρ 2 0χ(x, y, ϕ0)e2jk|r−r0| π5/2E 0(k)P2(β)|r − r0| . (27) ্ࣜr1 ʹ͋Δిؾతʹখ͞ͳࢄཚମΛԾఆͯ͠ɺ (24)͔ࣜΒ༠ಋ͍ͯ͠Δɻͭ·ΓɺԕํքΛA(k) ͱ͢ΔͱɺdeltaؔͰ༩͑ͨϨʔμը૾ Φ1(r) = δ(r− r1)A1(k)/k2 ΞϯςφύλʔϯؔP (β)ʹಠཱͯ͠ ͍ΔͷͰɺमਖ਼ͨ͠RCSσ1=|A1(k)|2͕ٻΊΒΕΔɻ ࠷ޙ(22)ࣜʹؔ͢ΔͷͰɺ͜ΕΛॻ͖͑Δͱɺ σ(k, ϕ) = k4 � � � � ∫∫ Ω
Φ(x, y)e2jk(x cos ϕ+y sin ϕ)dxdy
� � � � 2 (28) ͱͳΔɻ͜͜ͰɺΩԁࠪͷਫฏஅ໘ʹ͋Δը૾ੜ Ҭ(ਤ1)Ͱ͋ΓɺҰํɺΦ(x, y) Φ(x, y) = ∫ ∞ −∞ Ψ(r)dz (29) Ͱఆٛ͞ΕΔɻ(27)ͱ(23)ࣜΛ(29)ࣜʹೖ͢Δͱɺ Φ(r) (30) = ∫ ∞ 0 dk ∫ 2π 0 dϕ0 ∫ ∞ −∞ dz0Enears (k, ϕ0, z0) χ(x, y, ϕ0) E0(k) T ͕ಘΒΕΔɻ͜͜ͰɺඃੵؔͷT T = 2ρ 2 0 π5/2 ∫ ∞ −∞ e2jk|r−r0| P2(β)|r − r 0| dz (31) Ͱ༩͑ΒΕΔɻ ࠓɺϓϩʔϒΞϯςφແࢦੑͰ͋Δͱ͢Δͱɺ P (β) = 1Ͱ͋ΔͷͰɺ্ࣜ T = 2jρ 2 0 π3/2H (1) 0 (2k|iρρ− iρ0ρ0|) (32) ͱͳͬͯɺHankelؔH0(1)Λͬͯશʹදݱ͞ΕΔɻ ͜͜Ͱɺiρρ = ixx+iyy,iρ0ρ0ਫฏ໘(z = 0)ͷҐஔ ϕΫτϧͰ͋ΔɻHankelؔԁ࠲ඪʹ͓͚Δࣗ༝ۭ ؒͰͷGreenؔͰ͋ΔͷͰɺ͜ͷ͜ͱ͔ΒຊNFFFT ཧͷଥੑ͕ূͰ͖Α͏ɻͳ͓ɺz = 0Ҏ֎ͷਫฏ໘ ʹ͓͚Δը૾ɺͭ·Γɺ͜ͷ໘ͰͷRCSύλʔϯz =ఆ ͱ͢Δ͜ͱͰٻΊΒΕΔ͜ͱཧղͰ͖ΔɻΞϯςφ ʹࢦੑ͕͋Δ߹ɺը૾ੜҬͱϓϩʔϒࠪҬͷ ؒͷڑɺ2k|r−r0| ≫ 1 ͷΑ͏ʹҎ্͋Δͷ ͰɺۙతʹධՁ͢ΕΑ͍ɻͦ͜ͰɺఀཹҐ૬๏Λ༻ ͍ͯۙղΛٻΊΔͱɺ݁Ռ࣍ࣜͷΑ͏ʹͳΔɻ T ≈ ρ0e −jk|iρρ−iρ0ρ0|+jπ/4 √πP2(β c)√2k|iρρ− iρ0ρ0| . (33) ͜͜Ͱɺ֯ββc= ρ0χ(x, y, ϕ0)/|iρρ−iρ0ρ0|Ͱ༩͑ ΒΕΔ. ܭଌͨۙ͠ి࣓քEs near(k, ϕ0, z0)Λআ͍ͯɺੵ (30)ͷશͯͷඃੵؔz0ʹಠཱ͍ͯ͠Δɻैͬͯɺ ࡾ࣍ݩԁࠪͷNFFFTͷ࠷ऴతͳެࣜ࣍ࣜͰ༩͑Δ ͜ͱ͕Ͱ͖Δ: Φ(x, y) = ∫ ∞ 0 dk ∫ 2π 0
dϕ0⟨Enears (k, ϕ0)⟩ ˜F (k, ϕ0, x, y).(34)
͜͜ʹɺযԽؔ࣍ࣜͰఆٛ͞ΕΔ: ˜ F (k, ϕ0, x, y) = ρ2 0χ(x, y, ϕ0)ejk|iρρ−iρ0ρ0|+jπ/4 √ πE0(k)P2(βc)√2k|iρρ− iρ0ρ0| .(35) ࣜ(34)ͷܭࢉʹɺਨ࣠ํʹରͯ͠ฏۉԽͨۙ͠ ք ⟨Es near(k, ϕ0)⟩= ∫ ∞ −∞ dz0Enears (k, ϕ0, z0) (36) Λ༻͍Δɻࣜ(28)ͱ(34)ܘρ0ͷԁपࠪNFFFT ͱಉ͡ܗͱͳ͍ͬͯΔ͜ͱ͕͔Δɻ།Ұͷҧ͍য Խؔͷද͚ࣔͩͰ͋Δ[10]ɻ ਤ5 ԁࠪNFFFTॲཧιϑτΣΞγεςϜ:KOSIP:ࠪػߏܥͱϚΠΫϩܭଌܥͷιϑτΣΞ੍ޚ,ը૾ੜॲ ཧ,ԕํRCS/ΞϯςφύλʔϯධՁ
Fig.5 KOSIP Software code system as controller equipment for cylindrical scanning NFFFT.
Ҏ্ͰಘΒΕͨ(28),(34),(35),(36)ࣜɺz͓Αͼ z0ʹؔ͢Δੵͷඞཁੑͳ͍ͷͰɺԁࠪͰେ෯ ͳNFFFTॲཧ࣌ؒͷվળ͕ݟࠐ·ΕΔɻฏۉॲཧΛߦͬ ͨి࣓ք(36)୯ʹࠪ໘z-࣠ʹԊͬͯσʔλΛऩू ͢Δ͚ͩͰٻΊΒΕΔɻߍਖ਼ܭଌͷE0(k)पಛੑ ɺಋମٿ͋Δ͍ฏ൘ͳͲԕํքAcal(k)͕ط ͷࢄཚମͷܭଌ͔Β(26)ࣜΛͬͯٻΊΒΕΔɻҰ୴ E0(k)͕͔ΕɺॴཁͷपଳҬͱࠪεςοϓΛ ߟྀͯ͠ɺඃܭଌͷࢄཚքΛ࣮ଌ͢ΕΑ͍ɻ 4.ԁࠪίʔυKOSIPͷ։ൃͱܭଌ݁Ռ ਤ5ʹࣔ͢ϒϩοΫߏΛجʹɺϚΠΫϩωοτϫʔ ΫΞφϥΠβͱࠪػߏܥͷ੍ޚ͠ɺऔಘͨ͠Ұ࿈ͷૹ ड৴σʔλ͔ΒRCSΛٻΊΔධՁιτΣΞ(KOSIP ͱ໋໊)Λࢼ࡞։ൃͨ͠ɻϓϩάϥϜݴޠਤͷੜ͕ ༰қͰɺଌఆثͱͷΠϯλʔϑΣʔε͕ศརͳMATLAB Λ࠾༻͍ͯ͠Δɻ͜ͷࢼ࡞։ൃͨ͠ιϑτΣΞίʔυ KOSIPɺେ͖͘4ݸͷΠϯυ: (1)ܭଌɺ(2)ߍਖ਼ɺ (3)γϛϡϨʔγϣϯɺ(4) RCSධՁ͔Βߏ͞ΕΔɻਤ 6͜ͷͷ(1)ܭଌϞʔυͷΟϯυͰ͋ΔɻҎԼɺ ͦͷ֓ཁʹ͍ͭͯهड़͢Δɻ (1) ͷܭଌϞʔυͰɺपͳͲͷύϥϝʔλΛ ೖ ྗ ͠, ϕ Ϋ τ ϧ ω ο τ ϫ ʔ Ϋ Ξ φ ϥ Π β (VNA) ͓ Α ͼ Ϟ ʔ λ ʔ ࠪ ܥ Λ ੍ ޚ ͠ ͯ ࣮ ࡍ ʹ ࢄ ཚ ք Λ ܭ ଌ ͠ɺऔಘσʔλΛϝϞϦʔʹ֨ೲ͢Δɻσʔλͷ୯Ґ (dB)Ͱ͋Δɻ(2) ͷߍਖ਼ॲཧͷ݁ՌΛऔΓೖΕͯɺ (dB square meter: dBsm)ʹ͢Δɻ͜ͷաఔ(4)ͷRCS ධՁϞʔυͰߦ͏ɻ(3)ͷγϛϡϨʔγϣϯϞʔυͰɺ ಋମٿɺಋମฏ൘ɺೋ໘ͱࡾ໘ͷίʔφʔϦϑϨΫλͳ Ͳجຊܗঢ়ͷࢄཚମʹΑΔNFFFTͷཧܭࢉΛߦ͏͜ͱ ͕Ͱ͖ΔɻಉίʔυͰɺ͜ΕΒͷࢄཚମͷۙͱԕํ ͷࢄཚքܭࢉࣜΛඋ͍͑ͯΔɻ͞ΒʹɺϓϩʔϒΞϯς φͷิਖ਼ͷͨΊɺμΠϙʔϧɺ֯ਲ਼ϗʔϯͳͲͷཧܭ ࢉϢχοτซඋ͍ͯ͠Δɻ NFFFT૯߹ॲཧίʔυ: KOSIPɺᒬʑͳػೳͱརศੑ Λߟྀͯ͠։ൃͨ͠ɻຊͰ৮Ε͍ͯͳ͍͕ɺϞϊε λςΟοΫͷϨʔμϞʔυͷଞʹόΠελςΟοΫϞʔ υͰͷܭଌʹରॲ͍ͯ͠Δɻٯ߹։ޱϨʔμ(ISAR) ॲཧͰɺࡾ࣍ݩը૾ΛఏڙͰ͖Δɻલઅ·Ͱͷཧݕ ূͰྨਪՄೳͰ͋Δ͕ɺࢄཚύλʔϯΛੜ͢ΔϚΠΫ
ਤ6 ԁࠪRCS૯߹ධՁίʔυKOSIP:ଌఆϞʔυͷGUIΟϯυྫ
Fig.6 KOSIP GUI for RCS comprehensive evaluation system in cylindrical scanning NFFFT: measurement-mode opening window.
ϩը૾͕ͲͷΑ͏ͳର͔ɺجຊతʹෆͰ͋Δɻ ͜ͷ͜ͱผܭଌͰऔಘͨ͠ϚΠΫϩෳૉը૾Ͱ͋Γ ͑͢͞ΕɺͦͷࢄཚύλʔϯΛมͰ͖Δ͜ͱΛࣔࠦ ͍ͯ͠ΔɻԼຒઃ͋Δ͍นಁաͷը૾͔ΒɺͲͷ Α͏ͳύλʔϯ͕ಘΒΕΔ͔ڵຯͷ༙͘τϐοΫͰ ͋ΔɻҰํɺطʹ৮Ε͍ͯΔΑ͏ʹɺిؾతʹ༗ݶͷڑ ͰͷRCSύλʔϯࢉग़Ͱ͖Δɻࣗಈंিಥࢭ༻ͷ ۙڑϨʔμʹ͓͚Δલํࢄཚͷࣹஅ໘ੵͷධՁ Ͱɺॏཁͳ߲ͱͳΓ͑Δɻࠓޙɺৄࡉݕ౼ͷ༧ఆͰ ͋Δɻ RCSͦͷ໊ͷࣔ͢௨Γૹड৴ػೳΛͭϨʔμʹର ͢Δࢄཚ߹͍ͷࢦඪͰ͋ΔɻैͬͯɺRCSܭଌ2-way ͕ݪଇͱͳΔɻଞํɺΞϯςφͷܭଌجຊతʹ1-way Ͱ͋ΔɻϗʔϯΞϯςφͳͲΛྫʹͱΔͱɺ։ޱ໘ͷۙ ి࣓ք͕͔Εɺԕํ์ࣹքΛཧతʹٻΊΔ ͜ͱ͕Ͱ͖Δɻਤ5ʹࣔ͢Α͏ʹɺNFFFTܭଌೋͭͷ ϓϩʔϒΞϯςφͰ2-wayRCSܭଌΛߦ͏ํ๏Ͱ͋Δ͕ɺ ͜ͷҰํͷϓϩʔϒ(ૹ৴)ΛඃܭଌͷΞϯςφͷڅి ʹଓ͢ΔͱɺΞϯςφͷۙքʹΑΔը૾͕ੜ͞Ε Δɻޙड़͢ΔΑ͏ʹɺͦͷԕํมͷ݁Ռ͍ΘΏΔΞ ϯςφͷԕํύλʔϯͱͳΔɻ KOSIPίʔυͷγϛϡϨʔγϣϯϞʔυΛ༻͍ͯɺখ ͞ͳෳݸͷಋମٿΛϞσϧʹͨ͠جૅతͳཧݕূྫ Λਤ7,8ʹࣔ͢ɻਤ7ɺ|x| ≤ 0.5, y = z = 0ͷִؒͰ ஔͨ͠11ݸͷখ͞ͳಋମٿͷ߹Ͱ͋Δɻٿͷܘ ͯ͢1.0 cm = 1/30 λ, f = 1 GHzͱ͍ͯ͠Δɻٿಉ࢜ͷ ִؒϐον10 cm = 1/3λͰ͋ΔͨΊɺٿͷҰྻࡉ͍ ฏ൘(ઢ)ͷΑ͏ʹৼΔ͏ͱ༧Ͱ͖Δɻಉਤͷ݁Ռ ฏ൘͔ΒͷࢄཚಛੑΛ͓ࣔͯ͠Γɺଥੑ͕͋Δͱ அͰ͖Δɻͳ͓ɺ͜ͷ݁ՌݫີղͱશʹҰகͯ͠ ͍Δ͜ͱΛ֬ೝ͍ͯ͠Δɻ ਤ8 ܘ ͷ ҟ ͳ Δ 4 ݸ ͷ ಋ ମ ٿ ʹ Α Δ ཧ RCS Ͱ͋Γɺप f = 3 GHz ͱ͍ͯ͠Δɻٿͷ࠲ඪͱ ܘ#1(50, 0, 0),r1= 0.1,#2(−25, 43, 0),r2= 0.8, #3(−25, −43, 0),r3= 0.8,#4(−25, 0, 50),r4= 0.5 cmͰ ͋ Δ ɻͦ ͷ ଞ ͷ ύ ϥ ϝ ʔ λ ɺத ৺ प 3 GHzɺ ଳҬ෯ 1.0 GHzɺपεςοϓ57.7 MHzɺρ0 = 150 cm, δϕ0 = 1◦ɺը ૾ ͷ ϐ Ϋ η ϧ α Π ζ 0.7 cmɺ (zmax, zmin, δz) = (20,−52, 3.5) cmͱ͍ͯ͠ΔɻNFFFT ʹΑΔ͜ͷRCS݁Ռɺݫີղͱ΄΅Ұக͍ͯ͠Δɻ ͯ࣍͞ʹɺNFFFTʹΑΔ RCS ධՁίʔυΛ༻͍࣮ͨ ଌ݁Ռʹ͍ͭͯٞ͢Δɻਤ9͓Αͼ10ɺ֤ʑܘ 10 cmͷಋମٿͱ։ޱͷҰล͕10 cmͷࡾ໘ίʔφʔϦϑ ϨΫλΛඃଌఆͱͯ͠ɺ։ൃίʔυKOSIPʹΑΓܭଌ ͨ͠Ϩʔμը૾ͱԕํมRCSͷ݁ՌͰ͋Δɻܭଌप ൣғͱεςοϓ֤ʑ5.0 - 6.0 GHzɺ10 MHzͰ͋Δɻϓ
ਤ6 ԁࠪRCS૯߹ධՁίʔυKOSIP:ଌఆϞʔυͷGUIΟϯυྫ
Fig.6 KOSIP GUI for RCS comprehensive evaluation system in cylindrical scanning NFFFT: measurement-mode opening window.
ϩը૾͕ͲͷΑ͏ͳର͔ɺجຊతʹෆͰ͋Δɻ ͜ͷ͜ͱผܭଌͰऔಘͨ͠ϚΠΫϩෳૉը૾Ͱ͋Γ ͑͢͞ΕɺͦͷࢄཚύλʔϯΛมͰ͖Δ͜ͱΛࣔࠦ ͍ͯ͠ΔɻԼຒઃ͋Δ͍นಁաͷը૾͔ΒɺͲͷ Α͏ͳύλʔϯ͕ಘΒΕΔ͔ڵຯͷ༙͘τϐοΫͰ ͋ΔɻҰํɺطʹ৮Ε͍ͯΔΑ͏ʹɺిؾతʹ༗ݶͷڑ ͰͷRCSύλʔϯࢉग़Ͱ͖Δɻࣗಈंিಥࢭ༻ͷ ۙڑϨʔμʹ͓͚Δલํࢄཚͷࣹஅ໘ੵͷධՁ Ͱɺॏཁͳ߲ͱͳΓ͑Δɻࠓޙɺৄࡉݕ౼ͷ༧ఆͰ ͋Δɻ RCSͦͷ໊ͷࣔ͢௨Γૹड৴ػೳΛͭϨʔμʹର ͢Δࢄཚ߹͍ͷࢦඪͰ͋ΔɻैͬͯɺRCSܭଌ2-way ͕ݪଇͱͳΔɻଞํɺΞϯςφͷܭଌجຊతʹ1-way Ͱ͋ΔɻϗʔϯΞϯςφͳͲΛྫʹͱΔͱɺ։ޱ໘ͷۙ ి࣓ք͕͔Εɺԕํ์ࣹքΛཧతʹٻΊΔ ͜ͱ͕Ͱ͖Δɻਤ5ʹࣔ͢Α͏ʹɺNFFFTܭଌೋͭͷ ϓϩʔϒΞϯςφͰ2-wayRCSܭଌΛߦ͏ํ๏Ͱ͋Δ͕ɺ ͜ͷҰํͷϓϩʔϒ(ૹ৴)ΛඃܭଌͷΞϯςφͷڅి ʹଓ͢ΔͱɺΞϯςφͷۙքʹΑΔը૾͕ੜ͞Ε Δɻޙड़͢ΔΑ͏ʹɺͦͷԕํมͷ݁Ռ͍ΘΏΔΞ ϯςφͷԕํύλʔϯͱͳΔɻ KOSIPίʔυͷγϛϡϨʔγϣϯϞʔυΛ༻͍ͯɺখ ͞ͳෳݸͷಋମٿΛϞσϧʹͨ͠جૅతͳཧݕূྫ Λਤ7,8ʹࣔ͢ɻਤ7ɺ|x| ≤ 0.5, y = z = 0ͷִؒͰ ஔͨ͠11ݸͷখ͞ͳಋମٿͷ߹Ͱ͋Δɻٿͷܘ ͯ͢1.0 cm = 1/30 λ, f = 1 GHzͱ͍ͯ͠Δɻٿಉ࢜ͷ ִؒϐον10 cm = 1/3λͰ͋ΔͨΊɺٿͷҰྻࡉ͍ ฏ൘(ઢ)ͷΑ͏ʹৼΔ͏ͱ༧Ͱ͖Δɻಉਤͷ݁Ռ ฏ൘͔ΒͷࢄཚಛੑΛ͓ࣔͯ͠Γɺଥੑ͕͋Δͱ அͰ͖Δɻͳ͓ɺ͜ͷ݁ՌݫີղͱશʹҰகͯ͠ ͍Δ͜ͱΛ֬ೝ͍ͯ͠Δɻ ਤ8 ܘ ͷ ҟ ͳ Δ 4 ݸ ͷ ಋ ମ ٿ ʹ Α Δ ཧ RCS Ͱ͋Γɺप f = 3 GHz ͱ͍ͯ͠Δɻٿͷ࠲ඪͱ ܘ #1(50, 0, 0),r1 = 0.1,#2(−25, 43, 0),r2= 0.8, #3(−25, −43, 0),r3= 0.8,#4(−25, 0, 50),r4= 0.5 cmͰ ͋ Δ ɻͦ ͷ ଞ ͷ ύ ϥ ϝ ʔ λ ɺத ৺ प 3 GHzɺ ଳҬ෯ 1.0 GHzɺपεςοϓ57.7 MHzɺρ0 = 150 cm, δϕ0 = 1◦ɺը ૾ ͷ ϐ Ϋ η ϧ α Π ζ 0.7 cmɺ (zmax, zmin, δz) = (20,−52, 3.5) cmͱ͍ͯ͠ΔɻNFFFT ʹΑΔ͜ͷRCS݁Ռɺݫີղͱ΄΅Ұக͍ͯ͠Δɻ ͯ࣍͞ʹɺNFFFTʹΑΔ RCS ධՁίʔυΛ༻͍࣮ͨ ଌ݁Ռʹ͍ͭͯٞ͢Δɻਤ9͓Αͼ10ɺ֤ʑܘ 10 cmͷಋମٿͱ։ޱͷҰล͕10 cmͷࡾ໘ίʔφʔϦϑ ϨΫλΛඃଌఆͱͯ͠ɺ։ൃίʔυKOSIPʹΑΓܭଌ ͨ͠Ϩʔμը૾ͱԕํมRCSͷ݁ՌͰ͋Δɻܭଌप ൣғͱεςοϓ֤ʑ5.0 - 6.0 GHzɺ10 MHzͰ͋Δɻϓ ਤ7 KOSIPγϛϡϨʔγϣϯϞʔυͰͷ11ݸͷಋମٿ ʹΑΔNFFFT-RCS
Fig.7 KOSIP Simulation-mode: 11-sphere, r=1 cm, 1 GHz.
ਤ8 KOSIPγϛϡϨʔγϣϯϞʔυͰͷ4ݸͷಋମٿʹ
ΑΔNFFFT-RCS
Fig.8 KOSIP Simulation-mode: 4-sphere, 3 GHz.
ϩʔϒͷࠪܘ1.2 mɺz-࣠ࠪ2.0 cmεςοϓ Ͱ±20 cmɺํҐํͷ֯εςοϓ1.0◦ Ͱ͋Δɻը ૾ੜҬρmax= 50.0 cmͰ͋ΓɺͦͷϐΫηϧαΠζ 1.0 mmͱ͍ͯ͠Δɻ͜͜Ͱͷ࣮ଌྫͰɺૹड৴Ξϯ ςφؒͷআڈΛߴϑʔϦΤม(FFT)ʹͯߦͬ ͍ͯΔ(KOSIPίʔυFFTॲཧϢχοτΛ༧Ί࣮ࡁ Έ)ɻਤ10ͷมύλʔϯʹίʔφʔϦϑϨΫλͷಛ ͕ݱΕ͍ͯΔɻίʔφʔϦϑϨΫλͷܭଌʹؔͯ͠ɺ ԕํྖҬͷߟʹਵͯ͠ޙͰৄ͘͠ݕ౼͢Δɻ ਤ9 ಋମٿͷ࣮ଌ:ԁࠪ, 5.5 GHz Fig.9 Measurement and NFFFT for a conducting
sphere by KOSIP code, 5.5 GHz.
ਤ10 ࡾ໘ίʔφʔϦϑϨΫλͷ࣮ଌ
Fig.10 Measuremen of 3-faces corner-reflector, cylindrical scanning, 5.5 GHz. ਤ11प:5.5 GHzɺଳҬ෯:1.0 GHzɺपεςο ϓ:10 MHzͰͷಋిੑృྉΛ༻ͨ͠ϓϥϞσϧͷଌఆ ݁ՌͰ͋ΔɻํҐ֯ͱਨํͷࠪεςοϓ1.0◦ ͱ2.0 cmʢ0.37 λ)ɺϓϩʔϒڑρ0= 110 cmͰ͋Δɻ ը૾ྖҬͱϐΫηϧαΠζɺͦΕͧΕρmax= 50 cmͱ 0.1 mmͱ͍ͯ͠Δɻ NFFFTޙͷRCSύλʔϯͷ྆ଆ ରশͰ͋Γɺϕ = 0◦γϟτϧϞσϧͷػटํͰ͋Γɺ ࠷େ370 mm(6.8λ)Ͱ͋ΔɻϨʔμը૾ɺऔಘۙ σʔλʹൺͯվળ͞Ε͍ͯΔɻྫ͑ɺૹ৴͔Βड৴ ΞϯςφͷΛআڈ͢ΔͨΊʹFFTʹΑͬͯॲཧ ͠ɺλʔήοτମΛஔ͔ͳ͍Ͱଌఆͨ͠ը૾σʔλʹ Αͬͯࠩ͠Ҿ͘ॲཧ͕͋Δɻલऀ໌Β͔ʹࡾ࣍ݩࢄཚ σʔλΛแؚ͍ͯ͠ΔͨΊɺԁܗͷࠪσʔλԁܗ ΑΓ༗ޮͰ͋Δɻͳ͓ɺಋମٿͳͲRCSطͱͷൺֱ
ߍਖ਼লུ͍ͯ͠ΔͷͰɺRCSύλʔϯ૬ରతͳdB ͷ··Ͱ͋Δɻਤ12KOSIPγϛϡϨʔγϣϯϞʔυ Ͱͷෳͷখ͞ͳٿʹΑΔཧతͳRCSύλʔϯΛࣔ͠ ͍ͯΔɻλʔήοτϞσϧ310ݸͷٿͰܗ͞Εͨε ϖʔεγϟτϧͷྠֲͰ͋Δɻ͜ͷখ͞ͳಋମٿʹΑΔ γϛϡϨʔγϣϯͰɺଟॏࣹߟྀ͞Ε͓ͯΒͣɺٿ ؒͷ૬ޓ࡞༻؍ଌͰ͖ͳ͍ɻͦͷͨΊɺܭࢉ݁Ռͷύ λʔϯɺਤ11Ͱͷ࣮ଌNFFFTύλʔϯͱҟͳͬ ͍ͯΔɻ͜ΕΛվળ͢Δํ๏ͱͯ͠ɺஶऀݱࡏɺࢦ ੑͱࣹΛߟྀͨ͠ݯͷֶϞσϧΛݚڀͯ͠ ͍Δɻࠓޙɺެදͷ༧ఆͰ͋Δɻ લड़Ͱ৮Εͨ௨ΓɺΞϯςφύλʔϯ1-wayͷRCS ܭଌͱͯ͠NFFFTʹΑͬͯଌఆՄೳͰ͋ΔɻඃܭଌΞ ϯςφΛճస࣠ͷத৺ʹऔΓ͚ɺRCSૹ৴ͷΘΓʹ Ξϯςφʹߴप৴߸Λೖྗ͢ΔɻಘΒΕΔۙҬۙ ลͷϨʔμը૾Ξϯςφͷ։ޱి࣓քͱՁతͰ ͋Δͱߟ͑Δɻ͜͏ͯ͠ಘΒΕͨΞϯςφԕํύλʔϯ ͱཧܭࢉͷൺֱΛਤ13ʹࣔ͢ɻΞϯςφ։ޱੇ๏ 60.0×35.0 mmɺϓϩʔϒҐஔΞϯςφ։ޱ͔Β400 mm ͷҐஔʹ͋Γɺܭଌप5.0 - 6.0 GHzͰ͋Δɻಉਤ ԁपࠪͷม݁ՌͰ͋ΔͷͰɺԁࠪͰ͞Βʹ ਖ਼֬ͳଌఆ݁ՌʹͳΔͱ༧͍ͯ͠Δɻ ͜ͷઅͷ࠷ޙʹɺNFFFTʹؔ࿈͢Δز͔ͭͷܭଌ্ͷ ཹҙࣄ߲ΛҎԼʹ͓ࣔͯ͘͠ɻ (1)ϞϊελςοΫϞʔυʹ͓͚Δೋͭͷૹड৴ϓ ϩʔϒΞϯςφͷִؒɿ ૹ৴มௐʹ࿈ଓʢCW)Λ࠾ ༻͍ͯ͠Δ߹ɺड৴ثૹ৴Ξϯςφ͔Βͷిྗ ΑΓখ͍͞λʔήοτ͔ΒͷࣹΛड৴͢Δ͜ͱ Ͱ͖ͳ͍ɻૹ৴Ξϯςφ͔Βड৴Ξϯςφͷ৴߸ ͜ͷ࠷Ϩϕϧ͔Βܾఆ͞Εɺ͜ΕΞϯςφλΠ ϓͱִؒઃఆํ๏ʹґଘ͢Δɻ Ұํɺִؒͷେ͖͞ β < λ/D∥Λอূ͢Δඞཁ͕͋Δɻ͜͜ͰɺβόΠελ ςΟοΫ֯Ͱ͋ΓɺD∥ਫฏํͷλʔήοτͷ ࠷େαΠζͰ͋ΔɻೋͭͷΞϯςφ͕ਨํʹஔ͞ Ε͍ͯΔ߹ɺ͜ͷͱ͖ͷ݅ࣜβ<λ/D⊥ͰධՁ͞Ε Δɻ͜͜ͰɺD⊥ਨํʹ͓͚Δλʔήοτͷ࠷େα ΠζͰ͋Δɻ (2)ܭଌܥϨϕϧνϟʔτ:ਤ14ʹࣔ͢Α͏ʹɺॴཁ ͷS/N ൺͱμΠφϛοΫϨϯδΛҡ࣋͢Δ͜ͱɺ࣮ ࡍͷଌఆڥͰۃΊͯॏཁͰ͋Δɻ͜Εओʹೋͭͷ Ξϯςφؒͷͱి҉ࣨͷੑೳʹґଘ͢Δɻܭଌ ܥͷμΠφϛοΫϨϯδͱS/NൺʹԠͯ͡ɺΞΠιϨʔ γϣϯ͕͓͓Αͦ30dBະຬͷ߹ɺύϧεϞʔυͰ ਤ11 ಋిృྉϓϥενοΫϞσϧͷ࣮ଌ
Fig.11 Measurement of plastic-model with con-ducting paint, cylindrical scanning, 5.5 GHz.
ਤ12 ଟͷٿͰ࡞ͨ͠γϟτϧϞσϧͷϨʔμը૾ ͱRCS
Fig.12 Radar image and RCS pattern of the space-shuttle modelled by multiple small spheres.
ͷܭଌ͕ඞཁͱͳΔ͜ͱ͋Δɻ͞Βʹ࣌ؒͷଌఆͰɺ ϕΫτϧωοτϫʔΫΞφϥΠβ(VNA)ܭଌ͕ॳظ ͔ΒͣΕΔ͜ͱ͕͋ΔͷͰɺܭଌ։࢝ͷҐ૬ͱৼ෯Λ อ࣋͢ΔͨΊɺҰఆͷִ࣌ؒؒΛܦͯߍਖ਼͕ඞཁͱͳΔɻ (3)ճసத৺:ඃܭଌͷλʔήοτ͕ٿͷΑ͏ͳର Ͱ͋Δ߹ɺͦͷཧతத৺Λػցతճసத৺ʹՄೳ ͳݶΓҰகͤ͞Δඞཁ͕͋Δɻ ʢ4ʣNFFFTܭଌͱ҉ࣨͷ߹:λʔήοτपғͷ҉ࣨ ΫϫΠΤοτκʔϯΛઃܭ͢Δ߹ɺNFFFTϚΠΫϩ ܭଌܥͱ҉ࣨڥͷઃܭආ͚Δ͖Ͱ͋ΔɻͦΕ ͰɺߴੑೳͷΫϫΠΤοτκʔϯඞཁͳ͍ͱߟ͑Δɻ NFFFTϓϩʔϒΞϯςφલํۙʹஔ͞Ε͍ͯΔͨ
ߍਖ਼লུ͍ͯ͠ΔͷͰɺRCSύλʔϯ૬ରతͳdB ͷ··Ͱ͋Δɻਤ12KOSIPγϛϡϨʔγϣϯϞʔυ Ͱͷෳͷখ͞ͳٿʹΑΔཧతͳRCSύλʔϯΛࣔ͠ ͍ͯΔɻλʔήοτϞσϧ310ݸͷٿͰܗ͞Εͨε ϖʔεγϟτϧͷྠֲͰ͋Δɻ͜ͷখ͞ͳಋମٿʹΑΔ γϛϡϨʔγϣϯͰɺଟॏࣹߟྀ͞Ε͓ͯΒͣɺٿ ؒͷ૬ޓ࡞༻؍ଌͰ͖ͳ͍ɻͦͷͨΊɺܭࢉ݁Ռͷύ λʔϯɺਤ11Ͱͷ࣮ଌNFFFTύλʔϯͱҟͳͬ ͍ͯΔɻ͜ΕΛվળ͢Δํ๏ͱͯ͠ɺஶऀݱࡏɺࢦ ੑͱࣹΛߟྀͨ͠ݯͷֶϞσϧΛݚڀͯ͠ ͍Δɻࠓޙɺެදͷ༧ఆͰ͋Δɻ લड़Ͱ৮Εͨ௨ΓɺΞϯςφύλʔϯ1-wayͷRCS ܭଌͱͯ͠NFFFTʹΑͬͯଌఆՄೳͰ͋ΔɻඃܭଌΞ ϯςφΛճస࣠ͷத৺ʹऔΓ͚ɺRCSૹ৴ͷΘΓʹ Ξϯςφʹߴप৴߸Λೖྗ͢ΔɻಘΒΕΔۙҬۙ ลͷϨʔμը૾Ξϯςφͷ։ޱి࣓քͱՁతͰ ͋Δͱߟ͑Δɻ͜͏ͯ͠ಘΒΕͨΞϯςφԕํύλʔϯ ͱཧܭࢉͷൺֱΛਤ13ʹࣔ͢ɻΞϯςφ։ޱੇ๏ 60.0×35.0 mmɺϓϩʔϒҐஔΞϯςφ։ޱ͔Β400 mm ͷҐஔʹ͋Γɺܭଌप5.0 - 6.0 GHzͰ͋Δɻಉਤ ԁपࠪͷม݁ՌͰ͋ΔͷͰɺԁࠪͰ͞Βʹ ਖ਼֬ͳଌఆ݁ՌʹͳΔͱ༧͍ͯ͠Δɻ ͜ͷઅͷ࠷ޙʹɺNFFFTʹؔ࿈͢Δز͔ͭͷܭଌ্ͷ ཹҙࣄ߲ΛҎԼʹ͓ࣔͯ͘͠ɻ (1)ϞϊελςοΫϞʔυʹ͓͚Δೋͭͷૹड৴ϓ ϩʔϒΞϯςφͷִؒɿ ૹ৴มௐʹ࿈ଓʢCW)Λ࠾ ༻͍ͯ͠Δ߹ɺड৴ثૹ৴Ξϯςφ͔Βͷిྗ ΑΓখ͍͞λʔήοτ͔ΒͷࣹΛड৴͢Δ͜ͱ Ͱ͖ͳ͍ɻૹ৴Ξϯςφ͔Βड৴Ξϯςφͷ৴߸ ͜ͷ࠷Ϩϕϧ͔Βܾఆ͞Εɺ͜ΕΞϯςφλΠ ϓͱִؒઃఆํ๏ʹґଘ͢Δɻ Ұํɺִؒͷେ͖͞ β < λ/D∥Λอূ͢Δඞཁ͕͋Δɻ͜͜ͰɺβόΠελ ςΟοΫ֯Ͱ͋ΓɺD∥ਫฏํͷλʔήοτͷ ࠷େαΠζͰ͋ΔɻೋͭͷΞϯςφ͕ਨํʹஔ͞ Ε͍ͯΔ߹ɺ͜ͷͱ͖ͷ݅ࣜβ<λ/D⊥ͰධՁ͞Ε Δɻ͜͜ͰɺD⊥ਨํʹ͓͚Δλʔήοτͷ࠷େα ΠζͰ͋Δɻ (2)ܭଌܥϨϕϧνϟʔτ:ਤ14ʹࣔ͢Α͏ʹɺॴཁ ͷS/N ൺͱμΠφϛοΫϨϯδΛҡ࣋͢Δ͜ͱɺ࣮ ࡍͷଌఆڥͰۃΊͯॏཁͰ͋Δɻ͜Εओʹೋͭͷ Ξϯςφؒͷͱి҉ࣨͷੑೳʹґଘ͢Δɻܭଌ ܥͷμΠφϛοΫϨϯδͱS/NൺʹԠͯ͡ɺΞΠιϨʔ γϣϯ͕͓͓Αͦ30dBະຬͷ߹ɺύϧεϞʔυͰ ਤ11 ಋిృྉϓϥενοΫϞσϧͷ࣮ଌ
Fig.11 Measurement of plastic-model with con-ducting paint, cylindrical scanning, 5.5 GHz.
ਤ12 ଟͷٿͰ࡞ͨ͠γϟτϧϞσϧͷϨʔμը૾ ͱRCS
Fig.12 Radar image and RCS pattern of the space-shuttle modelled by multiple small spheres.
ͷܭଌ͕ඞཁͱͳΔ͜ͱ͋Δɻ͞Βʹ࣌ؒͷଌఆͰɺ ϕΫτϧωοτϫʔΫΞφϥΠβ(VNA)ܭଌ͕ॳظ ͔ΒͣΕΔ͜ͱ͕͋ΔͷͰɺܭଌ։࢝ͷҐ૬ͱৼ෯Λ อ࣋͢ΔͨΊɺҰఆͷִ࣌ؒؒΛܦͯߍਖ਼͕ඞཁͱͳΔɻ (3)ճసத৺:ඃܭଌͷλʔήοτ͕ٿͷΑ͏ͳର Ͱ͋Δ߹ɺͦͷཧతத৺Λػցతճసத৺ʹՄೳ ͳݶΓҰகͤ͞Δඞཁ͕͋Δɻ ʢ4ʣNFFFTܭଌͱ҉ࣨͷ߹:λʔήοτपғͷ҉ࣨ ΫϫΠΤοτκʔϯΛઃܭ͢Δ߹ɺNFFFTϚΠΫϩ ܭଌܥͱ҉ࣨڥͷઃܭආ͚Δ͖Ͱ͋ΔɻͦΕ ͰɺߴੑೳͷΫϫΠΤοτκʔϯඞཁͳ͍ͱߟ͑Δɻ NFFFTϓϩʔϒΞϯςφલํۙʹஔ͞Ε͍ͯΔͨ ਤ13 NFFFTίʔυʹΑΔ1-way RCSͱͯ͠ͷΞϯςφύλʔϯมܭଌ, ͓Αͼཧͱͷൺֱ:ԁपࠪ,5.5 GHz
Fig.13 Measurement of antenna pattern as 1-way RCS and comparison with theoretical result, cylindrical scanning,5.5 GHz.
ਤ14 ϚΠΫϩϨϕϧνϟʔτ:ૹ৴ిྗɺड৴ײɺΞϯςφؒΞΠιϨʔγϣϯɺS/NൺɺμΠφϛοΫϨϯδɺޙ ํนࣹ
Fig.14 Microwave level chart: transmit power, receiving sensitivity, antenna isolation, S/N ratio, dynamic-range, wall back-scattering.
ΊɺޙนࣹͰ͋Δඞཁ͕͋Ζ͏ɻ ʢ5ʣϓϩʔϒΞϯςφͷҐஔਫ਼ɺαϯϓϦϯάɺϐο ν:ྫ͑ɺࣹڸΞϯςφͷද໘ਫ਼λ/10 rmsҎ Ͱ͋Δ͜ͱ͕·͍͠ઃܭ݅ͱͳ͍ͬͯΔɻ͜ͷڐ༰ ޡࠩʹΑΔΞϯςφརಘͷԼ 0.1 dBͰ͋Δɻಉ༷ ʹɺNFFFTܭଌͰͷϓϩʔϒͷҐஔܾΊਫ਼ํҐ֯ͱ ਨํͷ྆ํͰಉ͡λ/10Ҏʹอͭ͜ͱ͕ਪ ͞ΕΔɻҰํɺαϯϓϦϯάఆཧʹै͍ɺͯ͢ͷࠪ αϯϓϦϯάִؒλ/2Ҏʹอͭඞཁ͕͋Δɻ
ਤ15 GTDʹΑΔಋମετϦοϓʹΑΔཧ:෯
22.5 cm (4.13λ)ɺ্:ۙք (52 cm=9.53λ)ɺԼ:ԕ ํք
Fig.15 GTD calculation of conducting strip, width 22.5 cm (4.13λ),upper: near-field pattern
at 52 cm (9.53λ),lower: far-field pattern.
(6)λʔήοτͰͷଟॏࣹ:ߤۭػͷਨඌཌྷͳͲɺ λʔήοτܗঢ়͕ෳࡶͰ͋Δͱ͖ɺλʔήοτࣗମͰଟ ॏͷࣹ͕ൃੜ͢Δɻޫઢ (ray tracing)ͳͲ ͷํ๏Ͱ͜ͷࣹ෦ҐΛ֬ೝ͠ɺͦͷେ͖͞ʹԠͯ͡ϓ ϩʔϏϯάڑΛͰ͖Δ͚ͩͯ͠ܭଌ͢Δ͜ͱΛਪ ͢Δɻ ʢ7ʣؒҾ͖(thinning)ܭଌ: z−ํͷి࣓ք ͷύλʔϯΛ༧ଌͯ͠ɺํʹ͔ͬͯαϯϓϧΛ ݮΒ͢͜ͱ͕Ͱ͖Δɻ͜ͷؒҾ͖๏ඇৗʹޮՌతͰ͋ Γɺଌఆͱܭࢉͷ࣌ؒίετݮʹد༩͢Δɻ ʢ8ʣߴϑʔϦΤม(FFT):ಘΒΕͨܭଌσʔλʹ ɺॴͷࢄཚͷଞʹɺ࣮ଌڥʹ͓͚Δ͋ΒΏΔෆ ཁؚ͕༗͞Ε͍ͯΔɻ௨ৗɺ͜ͷෆཁΛѹ͢Δͨ ΊʹɺσʔλΛ࣌ؒ࣠ʹม͠ɺ࣌ؒϑΟϧλɺͭ·Γ FFTख๏ʹΑΓআڈ͍ͯ͠ΔɻKOSIPͰɺ͜ͷϙετ ॲཧͷϧʔνϯΛ༻ҙ͍ͯ͠Δɻͳ͓ɺޙड़ͷΑ͏ʹຊ ਤ16 ਤ15ͷۙքσʔλʹΑΔNFFTॲཧ:Ϩʔμը ૾(্)ͱԕํύλʔϯ(Լ)
Fig.16 NFFFT processing image and far-field pattern by inputting GTD near-field data in the
upper of Fig.15. Ͱɺը૾ʹΑΔۭؒ࣠ͰFFTʹΑΔ࣌ؒ࣠ॲཧͱ ಉ༷ʹআڈͰ͖Δ͜ͱΛ࣮ূ͓ͯ͠ΓɺࠓޙKOSIPʹ ࡌ༧ఆͰ͋Δɻ 5. ಋମฏ൘ʹΑΔKOSIP-NFFFTͷଥੑݕূ ຊઅͰઌͣɺ୯७ͳGTDϞσϧΛ༻͍ͯಋମฏ൘ͷ NFFTܭଌͱཧมʹ͍ͭͯߟ͢Δɻਤ15ϐʔ ΫͰਖ਼نԽ͞ΕͨࢄཚքύλʔϯͰ͋ΓɺಋମετϦο ϓͷ෯22.5 cm(4.13λ)ͷزԿޫֶతճંཧ(GTD)ʹ ΑΔܭࢉ݁ՌͰ͋Δɻಉਤͷ্ρ0= 52 cm(9.53λ)ͷ ۙքύλʔϯͰ͋ΓɺԼਤԕํྖҬͰͷύλʔϯͰ ͋Δɻਤ16ਤ15ͷGTDۙքσʔλΛKOSIPʹೖྗ ͨ͠ͱ͖ͷNFFFTॲཧը૾(্ଆ)ͱԕํύλʔϯ(Լ ଆ)Ͱ͋Δɻ ্هཧత݁ՌɺNFFFTଌఆมʹΑͬͯ༰қʹ֬ೝ Ͱ͖Δɻਤ17ʹଌఆதͷ༷ࢠͱଌఆύϥϝʔλΛࣔ͢ɻ ਤ18ۙք(্)ͱʣNFFFTม͞Εͨԕํύλʔϯ
ਤ15 GTDʹΑΔಋମετϦοϓʹΑΔཧ:෯
22.5 cm (4.13λ)ɺ্:ۙք (52 cm=9.53λ)ɺԼ:ԕ ํք
Fig.15 GTD calculation of conducting strip, width 22.5 cm (4.13λ),upper: near-field pattern
at 52 cm (9.53λ),lower: far-field pattern.
(6)λʔήοτͰͷଟॏࣹ:ߤۭػͷਨඌཌྷͳͲɺ λʔήοτܗঢ়͕ෳࡶͰ͋Δͱ͖ɺλʔήοτࣗମͰଟ ॏͷࣹ͕ൃੜ͢Δɻޫઢ (ray tracing)ͳͲ ͷํ๏Ͱ͜ͷࣹ෦ҐΛ֬ೝ͠ɺͦͷେ͖͞ʹԠͯ͡ϓ ϩʔϏϯάڑΛͰ͖Δ͚ͩͯ͠ܭଌ͢Δ͜ͱΛਪ ͢Δɻ ʢ7ʣؒҾ͖(thinning)ܭଌ: z−ํͷి࣓ք ͷύλʔϯΛ༧ଌͯ͠ɺํʹ͔ͬͯαϯϓϧΛ ݮΒ͢͜ͱ͕Ͱ͖Δɻ͜ͷؒҾ͖๏ඇৗʹޮՌతͰ͋ Γɺଌఆͱܭࢉͷ࣌ؒίετݮʹد༩͢Δɻ ʢ8ʣߴϑʔϦΤม(FFT):ಘΒΕͨܭଌσʔλʹ ɺॴͷࢄཚͷଞʹɺ࣮ଌڥʹ͓͚Δ͋ΒΏΔෆ ཁؚ͕༗͞Ε͍ͯΔɻ௨ৗɺ͜ͷෆཁΛѹ͢Δͨ ΊʹɺσʔλΛ࣌ؒ࣠ʹม͠ɺ࣌ؒϑΟϧλɺͭ·Γ FFTख๏ʹΑΓআڈ͍ͯ͠ΔɻKOSIPͰɺ͜ͷϙετ ॲཧͷϧʔνϯΛ༻ҙ͍ͯ͠Δɻͳ͓ɺޙड़ͷΑ͏ʹຊ ਤ16 ਤ15ͷۙքσʔλʹΑΔNFFTॲཧ:Ϩʔμը ૾(্)ͱԕํύλʔϯ(Լ)
Fig.16 NFFFT processing image and far-field pattern by inputting GTD near-field data in the
upper of Fig.15. Ͱɺը૾ʹΑΔۭؒ࣠ͰFFTʹΑΔ࣌ؒ࣠ॲཧͱ ಉ༷ʹআڈͰ͖Δ͜ͱΛ࣮ূ͓ͯ͠ΓɺࠓޙKOSIPʹ ࡌ༧ఆͰ͋Δɻ 5. ಋମฏ൘ʹΑΔKOSIP-NFFFTͷଥੑݕূ ຊઅͰઌͣɺ୯७ͳGTDϞσϧΛ༻͍ͯಋମฏ൘ͷ NFFTܭଌͱཧมʹ͍ͭͯߟ͢Δɻਤ15ϐʔ ΫͰਖ਼نԽ͞ΕͨࢄཚքύλʔϯͰ͋ΓɺಋମετϦο ϓͷ෯22.5 cm(4.13λ)ͷزԿޫֶతճંཧ(GTD)ʹ ΑΔܭࢉ݁ՌͰ͋Δɻಉਤͷ্ρ0= 52 cm(9.53λ)ͷ ۙքύλʔϯͰ͋ΓɺԼਤԕํྖҬͰͷύλʔϯͰ ͋Δɻਤ16ਤ15ͷGTDۙքσʔλΛKOSIPʹೖྗ ͨ͠ͱ͖ͷNFFFTॲཧը૾(্ଆ)ͱԕํύλʔϯ(Լ ଆ)Ͱ͋Δɻ ্هཧత݁ՌɺNFFFTଌఆมʹΑͬͯ༰қʹ֬ೝ Ͱ͖Δɻਤ17ʹଌఆதͷ༷ࢠͱଌఆύϥϝʔλΛࣔ͢ɻ ਤ18ۙք(্)ͱʣNFFFTม͞Εͨԕํύλʔϯ ਤ17 ಋମετϦοϓͷۙքܭଌ
Fig.17 Near-field measurement for the conducting strip, width 22.5 cm (4.13λ) at 52 cm (9.53λ).
ਤ18 ۙքܭଌσʔλ(্)Λ༻͍ͨԕํύλʔ ϯ(Լ)
Fig.18 NFFFT processing far-field pattern (lower) by inputting measured near-field data
(upper). (Լ) Ͱ͋Δɻͭ·ΓɺԕํRCSύλʔϯʹɺಉ͡ଌ ఆ͓Αͼܭࢉύϥϝʔλͷ3छྨͷύλʔϯ͕ൺֱͰ͖ Δ͜ͱʹͳΔɻ͜ΕΛ͔Γқ͘ݟΔͨΊɺަ࠲ඪͰ ਤ19ʹࣔ͢ɻฏ൘ͷೖࣹྖҬΛআ͍ͯɺ͜ΕΒͷ3ݸ ͷύλʔϯڻ͘΄ͲҰக͍ͯ͠Δ͜ͱ͕͔ΔɻෆҰ கͷཧ༝ͱͯ͠ɺೋͭ΄Ͳߟ͑ΒΕΔɻ·ͣɺଌఆ ࡾ࣍ݩڥͰߦΘΕΔ͕ɺܭࢉઢݯʹΑΔೋ࣍ݩͰ͋ Δ͜ͱɺୈೋʹɺۚଐฏ൘ͷ͕͞༗ݶͰ͋ΔͨΊɺԁप ࠪͰܭଌ͍ͯ͠Δ͜ͱ͕ڍ͛ΒΕΔɻԿΕʹͤΑɺϝ Πϯϩʔϒͱ͜Εʹ͍ۙαΠυϩʔϒྖҬͰ΄΅શͳ ҰகΛ͍ࣔͯ͠Δɻ͜ͷݕূ͔ΒɺຊͰఏҊ͍ͯ͠Δ NFFFTॲཧ͕༗ޮͰ͋Δͱ͚݁Δ͜ͱ͕Ͱ͖Δɻ ͜͜·Ͱݟ͖ͯͨΑ͏ʹɺஶऀ͕ఏҊ͢ΔNFFFTͰ ɺযԽิਖ਼ؔʹΑΔਖ਼֬ͳۙڑ ISAR ը૾͕ࢉ ग़ՄೳͱͳΓɺ͜ΕΑΓখܕͷి҉ࣨͰͷܭଌ͕Ͱ ͖ΔΑ͏ʹͳΔɻࡾ࣍ݩԁࠪͰͷNFFFTཧΛө ͨ͠RCS ૯߹ධՁγεςϜKOSIPΛ௨͠ɺલड़ͷΑ͏ ʹཧͷଥੑΛ֬ೝͨ͠ɻϦϞʔτηϯγϯάɺಁա Ϩʔμͷը૾ଘࡏ͢Δ͕ɺ͜ΕΒͷධՁՄೳͱߟ ͍͑ͯΔɻKOSIPʹɺϒϩʔϒΞϯςφͷϏʔϜิਖ਼ ؔɺ࣌ؒ࣠ ήʔςΟϯάॲཧϧʔνϯɺಋମٿɺฏ൘ ϞσϧʹΑΔۙքͱԕํքͷཧܭࢉϧʔνϯแ͠ ͓ͯΓɺࠓޙϞσϧͷ֦ுΛ༧ఆ͍ͯ͠Δɻ͞ΒʹɺΞ ϯςφ์ࣹքͷNFFFTύλʔϯܭଌɺޙड़ͷۭؒ࣠ը૾ Ҭ੍ݶॲཧͷରԠՄೳͰ͋Δɻಛʹޙऀλʔήοτ ͷը૾ۙͰͷෆཁࣹɺૹड৴ΞϯςφؒͷճΓࠐ