Near-optimum coherent CFAR detection of radar targets in compound-Gaussian clutter with inverse Gaussian texture

摘要

This paper studies the design of efficient detector for radar targets in compound-Gaussian clutter with inverse Gaussian texture (CG-IG clutter). Due to inclusion of the modified Bessel function, the optimum coherent detector in CG-IG clutter cannot be easily implemented in radar systems. Through deriving the mathematical relationship between the shape parameters of the K and CG-IG distributions, the efficient alpha matched filter (alpha-MF) detector in K-distributed clutter, is improved to realize the near-optimum detection with real-time and fast implementation in CG-IG clutter. The control parameter alpha in CG-IG clutter is calculated by a new formula. The constant false alarm rate (CFAR) property of alpha-MF and adaptive alpha-MF (alpha-AMF) is proved in CG-IG clutter. Numerical results indicate that the alpha-AMF CFAR detector has almost the same detection performance as the adaptive optimum detector and outperforms the adaptive MF (AMF) and adaptive normalized MF (ANMF) in CG-IG clutter. (C) 2019 Elsevier B.V. All rights reserved.