MIMO radar detection in compound-Gaussian clutter with inverse Gaussian texture

Abstract

The compound-Gaussian (CG) distribution with the inverse Gaussian (IG) texture is represented as the IG-CG distribution and validated to provide the better fit with the recorded clutter data than the traditional K distribution as well as the complex multivariate t distribution. In this paper, the adaptive detector of multiple-input multiple-output (MIMO) radar is firstly proposed in terms of the generalized likelihood ratio test (GLRT) criterion against the IG-CG clutter, and the constant false alarm rate (CFAR) property is evaluated. Numerical simulations illustrate the effectiveness of the proposed detector.