电子学报 ›› 2016, Vol. 44 ›› Issue (12): 2842-2848.DOI: 10.3969/j.issn.0372-2112.2016.12.005

• 学术论文 • 上一篇    下一篇

脉冲噪声环境下基于宽带模糊函数的双基地MIMO雷达目标参数估计新方法

李丽1, 邱天爽2   

  1. 1. 大连大学信息工程学院, 辽宁大连 116622;
    2. 大连理工大学电子信息与电气工程学部, 辽宁大连 116024
  • 收稿日期:2015-07-27 修回日期:2015-11-18 出版日期:2016-12-25
    • 作者简介:
    • 李丽,女,1979年生于黑龙江佳木斯.大连大学信息工程学院副教授.研究方向为阵列信号处理、参数估计.E-mail:ffsimple@163.com;邱天爽,男,1954年生于辽宁省抚顺.大连理工大学教授,博士生导师.主要从事信号信息处理方面的教学与研究工作.
    • 基金资助:
    • 国家自然科学基金 (No.61401055,No.61139001,No.61172108,No.61261046)

A Novel Method for Parameter Estimation Based on Wide-Band Ambiguity Function in Bistatic MIMO Radar System in Impulsive Noise Environment

LI Li1, QIU Tian-shuang2   

  1. 1. Information Engineering College, Dalian University. Dalian, Liaoning 116622, China;
    2. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning 116023, China
  • Received:2015-07-27 Revised:2015-11-18 Online:2016-12-25 Published:2016-12-25

摘要:

以Alpha稳定分布作为噪声模型,研究了脉冲噪声环境下宽带双基地MIMO雷达系统中参数估计问题.针对在脉冲噪声环境中,基于传统的信号模型和算法效果显著退化的问题,本文提出了基于分数低阶统计量的宽带模糊函数算法.首先根据分数低阶宽带模糊函数的峰值点实现对多普勒频率尺度因子和时延的联合估计.接下来基于分数低阶宽带模糊函数构造两个子阵.通过采用改进的MUSIC算法和ESPRIT算法实现了收发角的联合估计.仿真实验表明本文算法具有很好的性能.

关键词: 双基地MIMO雷达, Alpha稳定分布, 分数低阶宽带模糊函数, FLWBAF-MUSIC算法, FLWBAF-ESPRIT算法

Abstract:

This paper takes the Alpha stable distribution as the noise model and studies the problem of bistatic multiple-input multiple-output (MIMO) radar system in the impulsive noise environment.Since the conventional algorithms degenerate severely in the impulsive noise environment,this paper proposes a novel method of wide-band ambiguity function based on the fractional lower-order statistics (FLOS-WBAF).Firstly,Doppler stretch and time delay are jointly estimated by peak searching the FLOS-WBAF.Secondly,two sub-array models are constructed based on the FLWBAF.Furthermore,two modified algorithms are proposed for the estimation of DODs and DOAs,including the fractional lower-order wide-band ambiguity function based on MUSIC algorithm (FLWBAF-MUSIC) and the fractional lower-order wide-band ambiguity function based on ESPRIT algorithm (FLWBAF-ESPRIT).Simulation results are presented to verify the effectiveness of the proposed method.

Key words: bistatic MIMO radar, Alpha stable distribution, fractional lower-order wide-band ambiguity function, FLWBAF-MUSIC algorithm, FLWBAF-ESPRIT algorithm

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