An entropy-based HRR detection strategy in compound Gaussian clutter with partially correlated texture

摘要

This paper addresses the detection strategy of a single pulse for range-distributed targets. The background is assumed to be compound Gaussian-distributed clutter with partially correlated clutter. Firstly, the definition of information entropy is introduced. Then, a new nonparametric detection strategy based on Renyi's quadratic entropy is proposed. Moreover, we present numerical results for the performance analysis of the newly proposed detector, which suggest that the entropy detector is robust and outperforms the conventional integrated detector.