Title of Paper:Parameter Estimation Based on Fractional Power Spectrum Density in Bistatic MIMO Radar System Under Impulsive Noise Environment

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Date of Publication:2016-09-01

Journal:CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Included Journals:SCIE、EI、Scopus

Volume:35

Issue:9

Page Number:3266-3283

ISSN No.:0278-081X

Key Words:Bistatic MIMO radar; Alpha-stable distribution model; Parameter estimation; Fractional power spectrum density; FLOS-FPSD-MUSIC algorithm; FLOS-FPSD-ESPRIT algorithm

Abstract:This paper takes an Alpha-stable distribution as the noise model to solve the parameter estimation problem of bistatic multiple-input multiple-output (MIMO) radar system in the impulsive noise environment. For a moving target, its echo often contains a time-varying Doppler frequency. Furthermore, the echo signal may be corrupted by a non-Gaussian noise. It causes the conventional algorithms and signal models degenerating severely in this case. Thus, this paper proposes a new signal model and a novel method for parameter estimation in bistatic MIMO radar system in the impulsive noise environment. It combines the fractional lower-order statistics (FLOS) and fractional power spectrum density (FPSD), for suppressing the impulse noise and estimating parameters of the target in fractional Fourier transform domain. Firstly, a new signal array model is constructed based on the -stable distribution model. Secondly, Doppler parameters are jointly estimated by peak searching of the FLOS-FPSD. Furthermore, two modified algorithms are proposed for the estimation of direction-of-departure and direction-of-arrival (DOA), including the fractional power spectrum density based on MUSIC algorithm (FLOS-FPSD-MUSIC) and the fractional lower-order ambiguity function based on ESPRIT algorithm (FLOS-FPSD-ESPRIT). Simulation results are presented to verity the effectiveness of the proposed method.