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邱天爽
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教授   博士生导师   硕士生导师

性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 生物医学工程学院

学科: 信号与信息处理. 生物医学工程

办公地点: 大连理工大学创新园大厦

联系方式: 电子邮箱:qiutsh@dlut.edu.cn; 电话:15898159801

电子邮箱: qiutsh@dlut.edu.cn

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

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论文类型: 期刊论文

发表时间: 2013-11-01

发表刊物: AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

收录刊物: SCIE、EI、Scopus

卷号: 67

期号: 11

页面范围: 947-954

ISSN号: 1434-8411

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

摘要: 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.

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