Title of Paper:Parameter estimation based on fractional power spectrum under alpha-stable distribution noise environment in wideband bistatic MIMO radar system

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Date of Publication:2013-11-01

Journal:AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

Included Journals:SCIE、EI、Scopus

Volume:67

Issue:11

Page Number:947-954

ISSN No.:1434-8411

Key Words:Wideband bistatic MIMO radar; Alpha-stable distribution model; Parameter estimation; FLOS-FPSD-MUSIC algorithm; FLOS-FPSD-ESPRIT algorithm

Abstract:This paper takes the alpha-stable distribution as the noise model and works on the parameter estimation problem of wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system in the impulsive noise environment. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. Furthermore, the echo signal may be corrupted by the non-Gaussian noise. The conventional algorithms degenerate severely in the impulsive noise environment. Thus, this paper proposes a new wideband signal model and a novel method in wideband bistatic MIMO radar system. It combines the fractional lower order statistics and fractional power spectrum, for suppressing the impulse noise and estimating parameters of the target. Firstly, a new signal array model is proposed under the alpha-stable distribution noise model. Secondly, Doppler stretch and time delay are jointly estimated by peak searching of the FLOS-FPSD. Furthermore, two modified algorithms are proposed for the estimation of the direction-of-departure and, direction-of-arrival, 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. (C) 2013 Elsevier GmbH. All rights reserved.