Low-rank STAP approach to radar target detection for sea clutter scenarios in radar seekers
Adaptive detection of moving targets on the sea is important for radar seeker. In this paper, a space-time adaptive processing (STAP) detection algorithm based on low-rank approximation of the adaptive linear-quadratic detector, called LR-ALQ detector, is presented with constant false alarm rate (CFAR) behavior. In the algorithm unknown covariance matrix of compound-Gaussian clutter is estimated with a recursive marginal maximum a posteriori (M-MAP) estimator and its rank are estimated by the exponentially embedded family (EEF) estimator and the minimum description length (MDL) estimator. The performance of the LR-ALQ detector has been compared with that of low-rank approximation of normalized adaptive match filter (LR-NAMF) detector by means of simulated sea clutter data in radar seeker application. The results show that the LR-ALQ detector has an effective target detection performance than LR-NAMF detector against sea clutter.