Parameter Estimation Based on Fractional Lower Order Statistics and Fractional Correlation in Wideband Bistatic MIMO Radar System

This paper proposes a novel wideband signal model and a novel method in wideband bistatic Multiple-Input Multiple-Output radar system. It combines the fractional lower order statistics and fractional correlation (FLOS-FC), for suppressing the impulse noise and estimating parameters of the target. Firstly, an extended signal array model is proposed under the alpha-stable distribution noise model. Secondly, Doppler stretch and time delay are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the FLOS-FC. Furthermore, two algorithms are presented for the estimation of direction of departure (DOD)-direction of arrival (DOA), including FLOS-MUSIC and FLOS-ESPRIT-based algorithms. Simulation results are presented to verify the effectiveness of the proposed method. Index Terms—Wideband bistatic MIMO radar, fractional lower order statistics, fractional correlation, parameter estimation