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Volume 41 Issue 5
Apr.  2019
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Xiaoxiang CEHN, Mengdao XING, Guangcai SUN, Guobin JING. A Motion Error Estimation Method Joint Envelope and Phase for 10 GHz Ultra-wideband Microwave Photonic-based SAR Image[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1069-1076. doi: 10.11999/JEIT180563
Citation: Xiaoxiang CEHN, Mengdao XING, Guangcai SUN, Guobin JING. A Motion Error Estimation Method Joint Envelope and Phase for 10 GHz Ultra-wideband Microwave Photonic-based SAR Image[J]. Journal of Electronics & Information Technology, 2019, 41(5): 1069-1076. doi: 10.11999/JEIT180563

A Motion Error Estimation Method Joint Envelope and Phase for 10 GHz Ultra-wideband Microwave Photonic-based SAR Image

doi: 10.11999/JEIT180563
Funds:  The State Key Research Development Program (2017YFC1405600), The Foundation for Innovative Research Groups of the National Natural Science Foundation of China (61621005)
  • Received Date: 2018-06-08
  • Rev Recd Date: 2018-12-20
  • Available Online: 2019-01-04
  • Publish Date: 2019-05-01
  • Due to the 2-D vacancies with serious motion errors when processing 10 GHz ultra-wideband microwave photonic-based SAR, current motion error estimation methods directly estimating with phase error can not obtain correct estimation result in this paper. An ultra-high resolution SAR motion error estimation method jointing envelope and phase is proposed, which can realize accurate estimation of motion error without inertial information. Firstly, the approximate 3-D motion error is obtained by applying the Least Squares Algorithm (LSA) and the Gradient Descent Algorithm (GDA) to the envelope information extracted by the Range Alignment Algorithm (RAA) before Range Curve Migration Correction (RCMC). Then, phase-based motion error estimation is performed on the data after rough compensation and RCMC. After eliminating the azimuth variant phase error, the 2-D space-variant phase error estimation method is used to obtain accurate estimation of residual motion error. Processing of simulated data and real data acquired from vehicle-borne microwave photonic-based radar validates the effectiveness of the proposed method.

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