Moving Target Estimation in Non-Homogeneous Clutter for MIMO Radar

In this paper, the authors consider velocity estimation and detection for non-stationary target using MIMO radar in non-homogeneous clutter. In the case of non-homogeneous clutter due to the azimuth-selective backscattering the clutter power will vary from one test cell to another and also from one transmit-receive pair to another. In this work, the non-homogeneous clutter is modeled using a subspace approach, whereby the subspace is spanned by a few Fourier bases and the non-homogeneity of the clutter is captured by coefficients that vary with different transmit-receive pairs and/or different resolution cells. They develop a Maximum Likelihood Estimator (MLE) for velocity estimation and General Likelihood Ratio Test (GLRT) for detection of target in non-homogeneous clutter.