吉林大学学报(工学版) ›› 2019, Vol. 49 ›› Issue (5): 1706-1714.doi: 10.13229/j.cnki.jdxbgxb20180357

• • 上一篇    

非均匀噪声条件下考虑互耦效应的DOA估计方法

王洪雁1,2(),房云飞1,2,朱圣棋3,裴炳南1,2   

  1. 1. 大连大学 辽宁省北斗高精度位置服务技术工程实验室，辽宁 大连 116622
    2. 大连大学 大连市环境感知与智能控制重点实验室，辽宁 大连 116622
    3. 西安电子科技大学 雷达信号处理国家重点实验室，西安 710071
  • 收稿日期:2018-04-17 出版日期:2019-09-01 发布日期:2019-09-11
  • 作者简介:王洪雁（1979-），男，副教授，博士.研究方向：MIMO雷达，毫米波通信.E-mail:gglongs@163.com
  • 基金资助:
    国家自然科学基金项目(61301258);中国博士后科学基金项目(2016M590218);雷达认知探测成像识别学科创新引智基地项目(B18039)

DOA estimation method considering mutual coupling effect in presence of non⁃uniform noise

Hong-yan WANG1,2(),Yun-fei FANG1,2,Sheng-qi ZHU3,Bing-nan PEI1,2   

  1. 1. Liaoning Engineering Laboratory of BeiDou High-Precision Location Service, Dalian University, Dalian 116622, China
    2. Dalian Key Laboratory of Environmental Perception and Intelligent Control, Dalian University, Dalian 116622, China
    3. National Lab of Radar Signal Processing, Xidian University, Xi′an 710071, China
  • Received:2018-04-17 Online:2019-09-01 Published:2019-09-11

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摘要：

针对非均匀噪声和互耦条件下相干信号辨识性能较差的问题，提出一种基于非均匀噪声协方差矩阵和互耦系数重构的DOA估计方法。首先，利用最小二乘理论并通过迭代优化方法恢复互耦意义下的无噪声信号协方差矩阵；然后，依据信号子空间原理，并通过估计不相关信号角度重构互耦系数矩阵，进而获得互耦补偿后的无噪声信号协方差矩阵；最后，通过传统空间平滑方法获得解相干信号，并利用MUSIC算法实现DOA参数估计。数值仿真表明：与仅考虑相干信源、非均匀噪声或互耦的传统DOA估计算法相比，本文算法可较好地抑制非均匀噪声，克服了互耦场景下传统空间平滑算法解相干失效问题，并可显著改善非均匀噪声和互耦条件下相干信源的DOA估计性能。

关键词: 通信技术, 波达方向, 非均匀噪声, 互耦, 相干信源, 空间平滑, 最小二乘

Abstract:

To solve the problem of poor identification performance of coherent signals in the presences of non-uniform noise and mutual coupling, a Direction of Arrival (DOA) estimation method based on non-uniform noise covariance matrix and mutual coupling coefficient reconstruction is proposed in this paper. Using the Least Squares (LS) theory, the noise-free covariance matrix in the sense of mutual coupling can be recovered by iterative optimization approach. Then, the uncorrelated signals angle determined by applying the principle of signal subspace can be used to reconstruct the mutual coupling matrix, so that the noise-free signal covariance matrix after compensating the mutual coupling can be obtained. Finally, the spatial smoothing techniques can be employed to decorrelate the coherent signals, which enable us to apply the MUSIC algorithm to achieve DOA estimation. Simulation results demonstrate that, compared to the traditional MUSIC and DOA estimation algorithms, which only considers coherent signals, non-uniform noise or mutual coupling, the proposed method can suppress non-uniform noise significantly, overcome the decorrelation failure of the conventional spatial smoothing techniques in the case of mutual coupling, and improve the DOA estimation performance of coherent signals under the coexistence of both non-uniform noise and mutual coupling considerably.

Key words: communication technology, direction of arrival, non-uniform noise, mutual coupling, coherent signals, spatial smoothing, least-squares

中图分类号: 

  • TN911

图1

非均匀噪声条件下非相干信号空域谱（互耦已知）"

图2

非均匀噪声及互耦条件下非相干信号空域谱"

图3

非均匀噪声及互耦条件下相干信号空域谱"

图4

RMSE随信噪比SNR变化对比"

图5

RMSE随WNPR变化对比"

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