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A Joint Parameters Estimation Method for Azimuth Multichannel TOPS SAR.

Authors :
Li, Han
Suo, Zhiyong
Zheng, Chengxin
Liu, Aifang
Li, Zhenfang
Source :
IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p
Publication Year :
2023

Abstract

Multichannel parameter estimation is a key technology for azimuth multichannel terrain observation by progressive scans synthetic aperture radar (MC TOPS SAR) systems. Normally, for the traditional multichannel parameter estimation algorithms, the mismatch parameters are concluded as phase error, baseline error, and Doppler centroid. The beam rotation speed error is ignored. However, for MC TOPS SAR, beam rotation speed error will degrade the reconstruction performance of the Doppler spectrum. Moreover, only part of the mismatch parameters can be estimated for the traditional algorithms. To address those problems, a joint parameters estimation algorithm for TOPS SAR based on spatial time cross correlation coefficient (STCCC) is proposed. Combined with phase wrapping and the least-squares method (LSM), the algorithm is capable of realizing a joint parameters estimation of channel consistency error, azimuth baseline error, Doppler centroid frequency, and beam rotation speed estimation without iteration. The real data processing result shows that the method can effectively realize MC TOPS SAR data error estimation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1545598X
Volume :
20
Database :
Complementary Index
Journal :
IEEE Geoscience & Remote Sensing Letters
Publication Type :
Academic Journal
Accession number :
176253222
Full Text :
https://doi.org/10.1109/LGRS.2023.3250441