Fast channel phase error calibration algorithm for azimuth multichannel high-resolution and wide-swath synthetic aperture radar imaging system

Linjian Zhang; Yesheng Gao; Xingzhao Liu

doi:10.1117/1.JRS.11.035003

10 July 2017 Fast channel phase error calibration algorithm for azimuth multichannel high-resolution and wide-swath synthetic aperture radar imaging system

Linjian Zhang, Yesheng Gao, Xingzhao Liu

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 3, 035003 (July 2017). https://doi.org/10.1117/1.JRS.11.035003

Abstract

The configuration of multiple uniformly spaced channels in azimuth can achieve high-resolution and wide-swath images for synthetic aperture radar (SAR) systems. The unambiguous Doppler spectrum can be reconstructed via digital beamforming (DBF) techniques in the azimuth multichannel SAR system. However, the performance of DBF deteriorates significantly because of the inevitable channel errors in practical applications. Since the SAR antennas are generally unweighted in azimuth, the power of the SAR signal is symmetrically distributed around the Doppler centroid in the azimuth frequency domain. Based on this observation, the covariance matrix of multichannel output in the range-Doppler domain can be regarded as a real matrix when there is no existence of channel errors and the correction of the baseband Doppler centroid is applied. Consequently, we propose a fast calibration algorithm to calculate channel phase errors. The proposed method can acquire the estimation of phase errors directly from the covariance matrix. Thus, the proposed method has the properties of high robustness and low computation load. Theoretical analysis and experiments validate the performance and the efficiency of the proposed algorithm.

Citation Download Citation

Linjian Zhang, Yesheng Gao, and Xingzhao Liu "Fast channel phase error calibration algorithm for azimuth multichannel high-resolution and wide-swath synthetic aperture radar imaging system," Journal of Applied Remote Sensing 11(3), 035003 (10 July 2017). https://doi.org/10.1117/1.JRS.11.035003

Received: 18 January 2017; Accepted: 19 June 2017; Published: 10 July 2017

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