| 摘要: |
| 针对传统波达方向(Direction of Arrival，DOA)估计方法在低信噪比、少快拍数条件下表现性能差甚至失效的问题，提出了一种基于重构频域协方差矩阵的波达方位估计方法。该方法根据转化的频域信号进行共轭反向修正实现对噪声的抑制，构造出了新的频域协方差矩阵，利用平均噪声子空间建立空间谱估计函数，通过谱峰搜索估计出信源的方位角。经仿真对比分析，所提改进方法可以识别多个相干信号，并且在低信噪比、少快拍数条件下仍然获得较好的方位估计性能，估计误差较传统算法降低2%~25%。 |
| 关键词: 相干信号 波达方向估计 频域协方差矩阵 噪声子空间 MUSIC算法 |
| DOI：10.20079/j.issn.1001-893x.240313003 |
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| 基金项目:大连市揭榜挂帅技术攻关项目（2022JB11GX001） |
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| DOA Estimation Based on Reconstructed Frequency Domain Covariance Matrix |
| CHEN Baojun,LI Xueqing,JU Yanjie,WANG Shuo,LI Chunlin |
| (1.School of Automation and Electrical Engineering,Dalian Jiaotong University,Dalian 116028,China;2.Automotive Electronics Research Institute at Neusoft GroupDalian Co.,Ltd.,Dalian 116086,China) |
| Abstract: |
| A direction of arrival(DOA) estimation method based on reconstructed frequency domain covariance matrix is proposed to address the problem of poor performance or even failure of traditional DOA estimation methods under low signal-to-noise ratio(SNR) and few snapshots.This method suppresses noise by conjugate inverse correction based on the converted frequency domain signal,constructs a new frequency domain covariance matrix,establishes a spatial spectral estimation function using the average noise subspace,and estimates the azimuth of the signal source through spectral peak search.Through simulation and comparative analysis,the improved method proposed in this paper can identify multiple coherent signals and still achieve good azimuth estimation performance under low SNR and few snapshots.The estimation error is reduced by 2%~25% compared with that of traditional algorithms. |
| Key words: coherent signal DOA estimation frequency domain covariance matrix noise subspace MUSIC algorithm |
