低信噪比下相干信号DOA估计算法研究
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  • 英文篇名:Research on DOA estimation algorithm for coherent signal under low signal to noise ratio
  • 作者:任全会 ; 陈享成
  • 英文作者:Ren Quanhui;Chen Xiangcheng;Henan High Speed Railway Operation and Maintenance Engineering Research Center;
  • 关键词:低信噪比 ; DOA估计 ; 空间平滑算法 ; 相干信号
  • 英文关键词:low signal-to-noise ratio;;DOA estimation;;spatial smoothing algorithm;;coherent signal
  • 中文刊名:DZJY
  • 英文刊名:Application of Electronic Technique
  • 机构:河南省高速铁路运营维护工程研究中心;
  • 出版日期:2018-11-06
  • 出版单位:电子技术应用
  • 年:2018
  • 期:v.44;No.485
  • 语种:中文;
  • 页:DZJY201811014
  • 页数:4
  • CN:11
  • ISSN:11-2305/TN
  • 分类号:59-62
摘要
为了解决低信噪比下相干信号波达方向(DOA)估计精度和分辨率不高的问题,提出了低信噪比下相干信号DOA估计算法,此方法主要利用了空间平滑算法和ES-MUSIC算法的优点。相干信号源进行解相干通过空间平滑技术实现,接着,再使用ES-MUSIC算法进行DOA估计。分别对DOA估计成功概率、DOA估计均方误差、DOA估计成功分辨概率进行了对比测试,测试结果表明,与传统的方法相比,该方法在低信噪比下DOA估计精度和分辨率更高。
        In order to solve the problem of low coherent signal DOA estimation accuracy and low resolution in low signal to noise ratio, this paper proposes a DOA estimation algorithm for coherent signal under low SNR. This method mainly uses the advantages of spatial smoothing algorithm and ES-MUSIC algorithm. Coherent signals are decohered through spatial smoothing, and then ES-MUSIC algorithm is used to estimate DOA. In this paper, the DOA estimation success probability, DOA estimation mean square er-ror and DOA estimation successful resolution are compared. The test results show that compared with the traditional method, the proposed method has higher DOA estimation accuracy and resolution at low signal to noise ratio.
引文
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