Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction

Jin HOU; Yunzhe LI; Tianyu LI

doi:10.11959/j.issn.1000-436x.2021219

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Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction

Papers | 更新时间：2024-06-05

- Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction
- Journal on Communications Vol. 42, Issue 11, Pages: 172-181(2021)
- 作者机构：
  
  1. 西南交通大学信息科学与技术学院，四川成都 611756
  2. 西南交通大学综合交通大数据应用技术国家工程实验室，四川成都 611756
  3. 西南交通大学唐山研究生院，河北唐山 063000
- 作者简介：
- 基金信息：
  
  Science and Technology Plan Project of Sichuan Province(2020SYSY0016)
- DOI：10.11959/j.issn.1000-436x.2021219
  CLC： TN98
- Online First：2021-11，
  
  Published：25 November 2021
- 稿件说明：
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Jin HOU, Yunzhe LI, Tianyu LI. Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction[J]. Journal on Communications, 2021, 42(11): 172-181.
DOI：

Jin HOU, Yunzhe LI, Tianyu LI. Underdetermined DOA estimation of coherent signals based on denoising complex FastICA and sparse reconstruction[J]. Journal on Communications, 2021, 42(11): 172-181. DOI： 10.11959/j.issn.1000-436x.2021219.

摘要

针对现有的存在相干信号的 DOA 估计方法大多数不能用于欠定的情况，即入射信号数超过传感器数的问题，提出了一种复数快速独立成分分析算法（即复数FastICA算法）和稀疏重构算法结合的DOA估计方法。当均匀圆阵传感器数目为 M 时，该算法最多可以估计 M(M-1)入射信号的到达角。针对低信噪比情况下，复数FastICA分离效果差的问题，提出了2种圆信号与非圆信号情况下通用的去噪复数FastICA算法。仿真结果与实测数据结果表明，该算法可以进行欠定情况相干与非相干信号共存的 DOA 估计，与目前的几种算法相比，所提的DOA估计方法算法具有良好的性能。

Abstract

To solve the problem that most of the existing direction of arrival(DOA) estimation methods for coherent signals could not be used in the case of under determination

where the number of incident signals exceeds the number of sensors

a DOA estimation method combining complex fast independent component analysis (FastICA) and sparse reconstruction algorithm was proposed.When the number of uniform circular array(UCA) sensors was M

the DOA of M(M-1) incident signals could be estimatedat most.To solve the problem of poor separation effect of complex FastICA in the case of low signal-to-noise ratio(SNR)

two general denoising complex FastICA algorithm were proposed

which could be used in the case of circular signal and non-circular signal.The results of simulation and measured data show that the proposed algorithm can estimate both coherent and incoherent signals in underdetermined cases.Compared with several existing algorithm

the proposed DOA estimation algorithm has good performance.

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references

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