基于双站距离的分布式MIMO雷达鲁棒目标定位方法研究OA

In the distributed multiple-input multiple-output(MIMO)radar systems,low-quality bistatic range(BR)measurements from certain channels can significantly degrade the target localization accuracy of conventional indi-rect methods.To address this issue,this paper constructs a robust estimator based on the Tukey loss function,and uses the iterative reweighted nonlinear least squares(IRNLS)method to solve it efficiently.This method can be used as a gen-eral post-processing module to effectively improve the target localization performance of the existing indirect methods in the scenarios of outliers.Furthermore,through extensive simulation experiments,the optimal boundary parameters of the robust estimator combined with different existing indirect methods under different signal-to-noise ratio(SNR)condi-tions are investigated.Subsequently,an approximate relationship between the optimal boundary parameters and SNR is modeled.Finally,the incremental computational complexity caused by the robust estimator is quantitatively analyzed.