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.
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