Target detection performance analysis for MIMO radars in gamma environment

In multi input multi output (MIMO) radars system; multiple transmitters and multiple receivers are employed to improve detection performance. This paper investigates the performance analysis of three CFAR (Constant False Alarm Rate) detectors; the CA-, GO- and SO-CFAR detectors for the MIMO radars considering a Gamma distributed clutter. The main contribution of this paper is the derivation of Close-form expressions of the probability of false alarm (P_FA) of the three CFAR detectors in homogeneous Gamma environment for the statistical MIMO radars. The correctness of the analytical expressions is validated first by comparing the threshold values T computed directly from the expression to those obtained by means of Monte Carlo simulations, and second by plotting these formulas using the MAPLE software where the curves behaves as a probability of false alarm (P_FA). The detection performance of the three CFAR detectors is carried out using Monte Carlo simulations in which the obtained results show that the CA-CFAR gives the best performance in low values of nodes MN, while the GO-CFAR and SO-CFAR provide better performance when MN increases.