Knowledge-aided detection of range-spread target in distributed MIMO radar

摘要

We examine the moving range-spread target in distributed multi-input multi-output (MIMO) radar. More precisely, a knowledge-aided (KA) model for nonhomogenous disturbance is proposed. We model the covariance matrices for different transmit-receive (Tx-Rx) pairs as random matrices, which share the same matrix structure but with different power levels for the non-homogeneous clutter powers across different Tx-Rx pairs. Two detectors are proposed. The first is a KA generalized likelihood ratio test (GLRT) without range training. The second is an ad-doc KA GLRT with range training. Computer simulations and analyses show the performance improvements offered by the proposed detectors in heterogeneous scenarios.