Detection and parameter estimation of ground moving targets in multichannel wide‐area surveillance system based on iterative adaptive approach

Abstract

Clutter suppression and motion parameter estimation are two of the essential issues of the signal processing in wide-area surveillance ground moving-target indication (WAS-GMTI) system. In this study, the authors propose and show how the iterative adaptive approach, which is a recently proposed non-parametric, weighted least-squares-based iterative adaptive processing approach, can be extended into multichannel WAS-GMTI system, in both ground clutter suppression and target parameter estimation. Since the proposed method does not need to estimate the interference covariance matrix from the secondary data, it has a major advantage when processing the data from non-homogeneous environments. The effectiveness of the proposed method is validated by both simulated experiments and real data processing.