A real-time processing method for microwave staring correlated imaging based on sequential LS

Abstract

Based on the temporal-spatial stochastic radiation field, microwave staring correlated imaging (MSCI) can achieve high resolution reconstruction of the target. In MSCI, the traditional processing method has a bad real-time performance, which need to wait for all the echo signals and require matrix inversions. In this paper, we introduce the sequential least squares (SLS) method to improve the real-time performance. SLS imaging result can be computed recursively, no longer need to wait for all the echo signals received. Moreover, no matrix inversions are required by SLS method. That can effectively reduce the computation cost, especially when the imaging equations scale is large. The effectiveness of the SLS method is demonstrated via the simulation results.