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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于非均匀线阵的压缩感知波达方向估计

刁鸣1,高璐1,高洪元1,冯平辉2   

  1. (1.哈尔滨工程大学信息与通信工程学院,哈尔滨 150001; 2.国家电网浙江省电力公司,杭州 310000)
  • 收稿日期:2014-11-04 出版日期:2015-10-15 发布日期:2015-10-15
  • 作者简介:刁鸣(1960-),男,教授、博士生导师,主研方向:移动通信,阵列信号处理;高璐,硕士研究生;高洪元,副教授;冯平辉,助理工程师。
  • 基金资助:
    国家自然科学基金资助项目(61102106);中央高校基本科研业务费基金资助项目(HEUCF140809);中国博士后科学基金资助项目(2013M530148);黑龙江省博士后科学基金资助项目(LBH-Z13054)。

Direction of Arrival Estimation Using Compressed Sensing Based on Non-uniform Linear Array

DIAO Ming  1,GAO Lu  1,GAO Hongyuan  1,FENG Pinghui  2   

  1. (1.College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China; 2.State Grid Zhejiang Electric Power Corporation,Hangzhou 310000,China)
  • Received:2014-11-04 Online:2015-10-15 Published:2015-10-15

摘要: 为提高压缩感知波达方向估计的阵列利用率,提出一种基于非均匀线阵的正交匹配追踪(OMP)算法。根据来波方向的大致范围,分别利用等角度方式和等正弦方式将空间角度划分成若干份,使用非均匀线阵作为信号的接收阵列,并将经过角度划分的非均匀线阵阵列流形阵作为观测矩阵,采用观测矩阵对信号进行投影测量得到维数较低的观测值,从观测值中重构原信号,进而得到待估计信源的方位信息。仿真结果表明,与多重信号分类(MUSIC)算法相比,该算法所需快拍数小、抗噪能力强、阵列利用率高,与均匀线阵条件下的OMP算法和基于空间平滑的MUSIC算法相比,具有更高的测角分辨力和更强的解相干能力。

关键词: 非均匀线阵, 正交匹配追踪, 压缩感知, 波达方向估计, 阵列利用率, 测角分辨力

Abstract: In order to improve the array utilization rate of Direction of Arrival(DOA) estimation using Compressing Sensing(CS),this paper proposes an Orthogonal Matching Pursuit(OMP) algorithm based on Non-uniform Linear Array(NLA).For the proposed algorithm,the observation space which is divided into a plurality of parts according to the rough range of DOA by using uniform angle division and uniform sine division.It uses the NLA to accept the signal,and makes the angle divided NLA manifold as measuring matrix.It projects and measures the signal with measuring matrix to achieve the observation value which has lower dimension,reconstructs the sparse signal and estimates the DOA from the observed values.Simulation results show that this algorithm needs fewer number of snapshots,achieves excellent anti-noise performance,and gets higher array utilizable rate compared with Multiple Signal Classification(MUSIC) algorithm.It also achieves higher angular resolution and the ability of dealing with coherent sources compared with OMP algorithm and MUSIC algorithm based on Spatial Smoothing(SS) under the Uniform Linear Array(ULA).

Key words: Non-uniform Linear Array(NLA), Orthogonal Matching Pursuit(OMP), Compressing Sensing(CS), Direction of Arrival(DOA) estimation, array utilization rate, angular resolution

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