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Channel Calibration based on Correlation Analysis for Multichannel SAR-GMTI Systems with Performance Test

Volume 13, Number 8, December 2017, pp. 1233-1245
DOI: 10.23940/ijpe.17.08.p6.12331245

Zhao-Yan Chena, Tong Wangb

aSchool of Computer Science and Technology,Shanghai Business School,Shanghai 201400,People’s Republic of China
bNational Laboratory of Radar Signal Processing,Xidian University, Xi’an 710071, People’s Republic of China

(Submitted on October 29, 2017; Revised on November 12, 2017; Accepted on December 1, 2017)


This paper proposes an accurate channel calibration algorithm for ground moving target indication (GMTI) applications with multichannel synthetic aperture radar (SAR) systems. The proposed algorithm is developed in a statistical fashion, and a useful tool called correlation analysis is employed, which measures the coherence between two channels by means of correlation coefficient. Based on correlation analysis theory, an optimum solution to a very general channel calibration problem is obtained, for which only the knowledge of the first two moments of the channel output signals is assumed and no other distributional assumptions are made. The proposed optimum solution represents a generic solution to the general channel calibration problem, which leads to a simple implementation form and needs no iterative operation. The performance test results show that the proposed correlation analysis processing algorithm is an effective way of calibrating the channels.


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