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A Spatially Variant Point Spread Function for Near-field Radar Image Simulation

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Conventional radar image simulation requires electromagnetic (EM) scattering data over two-dimensional (2D) domain of wideband frequencies and observation angles. The repeated EM scattering calculation results in high computation complexity. In this work, a fast technique for 2-D near-field radar image simulation based on the shooting and bouncing ray (SBR) is proposed. Under the narrow band and small angle approximations, a closed form expression for the spatially variant point spread function (SVPSF) is derived to compute image domain contributions of the ray tubes. Simulation results demonstrate that the correlation coefficient between the radar images generated using the proposed fast technique and the conventional technique are over 0.98.

源语言英语
主期刊名2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
出版商Institute of Electrical and Electronics Engineers
1016-1019
页数4
ISBN(电子版)9798350323047
DOI
出版状态已出版 - 2023
活动2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 - Genoa, 意大利
期限: 15 11月 202317 11月 2023

丛书

姓名IEEE Conference on Antenna Measurements and Applications, CAMA
ISSN(印刷版)2474-1760
ISSN(电子版)2643-6795

会议

会议2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
国家/地区意大利
Genoa
时期15/11/2317/11/23

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