Bistatic forward-looking SAR imaging processing based on optimized NLCS algorithm

  • Yu Hai
  • , Jingzeng Wang
  • , Zhongyu Li
  • , Junjie Wu
  • , Jianyu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In bistatic forward-looking SAR, due to its special motion model, the inevitable non-ideal motion error is introduced into the radar echo signal. Resulting in unknown two-dimensional space-varying RCM and Doppler parameters in the target echo. This paper proposes an optimization based NLCS method. Firstly, the first-order RCM is corrected by the keystone transform. Then based on the minimum entropy criterion and the processing idea of NLCS algorithm, the problem of unknown space-varying bending correction and Doppler parameter equalization is transformed into a constrained optimization problem. The genetic algorithm is used to solve the optimal NLCS equilibrium parameters. Thereby achieving high-precision imaging processing of bistatic forward-looking SAR echoes.

Original languageEnglish
Title of host publication2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129129
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 - Xiamen, China
Duration: 26 Nov 201929 Nov 2019

Publication series

Name2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

Conference

Conference6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Country/TerritoryChina
CityXiamen
Period26/11/1929/11/19

Keywords

  • NLCS
  • RCM
  • bistatic forward-looking SAR
  • genetic algorithm
  • minimum entropy
  • motion error

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