Target velocity estimation and CRB with distributed MIMO radar in non-homogeneous AR-modeled disturbances

In this paper, we examine the target velocity estimation with distributed multi-input multi-output (MIMO) radars in non-homogeneous environments, where the disturbance signal (clutter and noise) exhibits non-homogeneity in not only power but also covariance structure from one transmit-receive antenna pair to another as well as across different test cells. Specifically, a set of distinctive auto-regressive (AR) models are used to model such non-homogeneous disturbance signals for different transmit-receive pairs. The maximum likelihood (ML) estimator for the target velocity parameter is developed. Corresponding Cramér-Rao bounds, in both the exact and asymptotic forms, respectively, are examined to shed additional light to the problem. Numerical results are presented to demonstrate of the effectiveness of the proposed method.