Moving targets detection and parameters estimation based on DPCA and FrFT in dual-channel SAR

Abstract

Improvements based on DPCA–Fractional Fourier Transform(FrFT) are presented in this paper, so as to improve the performance of moving target detection and parameters’ estimation: firstly, aiming at the problem of acceleration in range, it is used as a parameter of moving target and estimated, this parameter mainly affects doppler rate; secondly, aiming at the problem of complicated system, this paper not only uses FrFT to estimate the doppler parameters of moving target, but also uses the maximum value of signal energy after FrFT. It can realize the detection and parameters’ estimation of moving target in dual-channel SAR and simplifies the structure of SAR's system; finally, due to the presence of noise in SAR's system, moving target's reflection coefficient is not an ideal value; The reflection coefficient is estimated by the amplitude averaging method to solve the problem, so as to improve the accuracy of parameters’ estimation of moving target.