Subspace projection for adaptive generalized likelihood ratio detection in Compound-Gaussian clutter

摘要

Poorly parameter estimates seriously depress the performance of adaptive GLRT detector. In this paper, orthogonal subspace projection algorithm is adopted to suppress clutter energy and mitigate performance degradation due to parameters estimation error. Simulations illustrate the effectiveness of this method.