Abstract:

To address the problem of multiple input multiple output (MIMO) radar signal separation with traditional matched filter (MF) in nonGaussian clutter, a new MF based on fractional lower order statistics (FLOS) is proposed. The proposed method assumes that the MIMO radar clutter satisfies symmetric alpha stable (SαS) distribution, and then with the rule of maximizing the output fractional lower order signaltoclutter power ratio, the optimum filter coefficients are obtained. The MIMO radar signal separation in coherent SαS and noncoherent SαS clutter are simulated respectively. Simulation results show that the proposed method is very efficient for MIMO radar signal separation in nonGaussian clutter, and it has the same good performance as traditional MF in Gaussian clutter.