Near-Field Far-Field Transformation Utilizing 2-D Plane-Wave Expansion for Monostatic RCS Extrapolation
Near-field far-field transformation (NFFFT) is a common solution to the huge costs associated with the radar cross section (RCS) measurements. One such NFFFT technique for the monostatic RCS measurement has been proposed, which utilizes the 3-D plane-wave expansion. While the technique has the highe...
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Veröffentlicht in: | IEEE antennas and wireless propagation letters 2016, Vol.15, p.1971-1974 |
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container_end_page | 1974 |
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container_start_page | 1971 |
container_title | IEEE antennas and wireless propagation letters |
container_volume | 15 |
creator | Omi, Shuntaro Uno, Toru Arima, Takuji Fujii, Takao Kushiyama, Yujiro |
description | Near-field far-field transformation (NFFFT) is a common solution to the huge costs associated with the radar cross section (RCS) measurements. One such NFFFT technique for the monostatic RCS measurement has been proposed, which utilizes the 3-D plane-wave expansion. While the technique has the higher flexibility, its use of 3-D near-field scans is costly. In this letter, we propose a 2-D version of the NFFFT that utilizes the 2-D plane-wave expansion. Thus the one-cut-plane RCS can be obtained by measuring only on a plane with the higher flexibility. |
doi_str_mv | 10.1109/LAWP.2016.2546342 |
format | Article |
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One such NFFFT technique for the monostatic RCS measurement has been proposed, which utilizes the 3-D plane-wave expansion. While the technique has the higher flexibility, its use of 3-D near-field scans is costly. In this letter, we propose a 2-D version of the NFFFT that utilizes the 2-D plane-wave expansion. 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Thus the one-cut-plane RCS can be obtained by measuring only on a plane with the higher flexibility.</description><subject>Antenna measurements</subject><subject>Far fields</subject><subject>Fast multipole method (FMM)</subject><subject>Flexibility</subject><subject>Geometry</subject><subject>Green's function methods</subject><subject>Method of moments</subject><subject>near-field far-field transformation</subject><subject>Noise measurement</subject><subject>radar cross section</subject><subject>Radar cross sections</subject><subject>Scattering</subject><subject>Three-dimensional displays</subject><issn>1536-1225</issn><issn>1548-5757</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kFtPwkAQhTdGExH9AcaXJj4v7qV76SNBUBNUohAeN0uZkpLSrbvFqL_erRCf5iTznZmTg9A1JQNKSXY3HS5nA0aoHDCRSp6yE9SjItVYKKFOO80lpoyJc3QRwpYQqqTgPbR5AevxpIRqnUz-1dzbOhTO72xbujpZtGVV_pT1JmH4PplVtga8tJ-QjL-aCHZIhJNnV7vQRkuevI3e47L1tnHV341LdFbYKsDVcfbRYjKejx7x9PXhaTSc4pxlvMUq05LJLufKak1BSU70ilmWAbdpJmJsnusc0pzrItMcwOqVLJSyOqd6DbyPbg93G-8-9hBas3V7X8eXhmohudZM0UjRA5V7F4KHwjS-3Fn_bSgxXZ-m69N0fZpjn9Fzc_CUAPDPqzQlmnL-C04kcJc</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>Omi, Shuntaro</creator><creator>Uno, Toru</creator><creator>Arima, Takuji</creator><creator>Fujii, Takao</creator><creator>Kushiyama, Yujiro</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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One such NFFFT technique for the monostatic RCS measurement has been proposed, which utilizes the 3-D plane-wave expansion. While the technique has the higher flexibility, its use of 3-D near-field scans is costly. In this letter, we propose a 2-D version of the NFFFT that utilizes the 2-D plane-wave expansion. Thus the one-cut-plane RCS can be obtained by measuring only on a plane with the higher flexibility.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LAWP.2016.2546342</doi><tpages>4</tpages></addata></record> |
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subjects | Antenna measurements Far fields Fast multipole method (FMM) Flexibility Geometry Green's function methods Method of moments near-field far-field transformation Noise measurement radar cross section Radar cross sections Scattering Three-dimensional displays |
title | Near-Field Far-Field Transformation Utilizing 2-D Plane-Wave Expansion for Monostatic RCS Extrapolation |
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