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Improve spectral resolution of subspace-based DOA estimation algorithms using conventional beamforming by noise subspace projection

机译：使用噪声子空间投影的常规波束成形提高基于子空间的DOA估计算法的光谱分辨率

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A novel method using the signal covariance matrix obtained by conventional beamforming to construct noise subspace projection (CNSP) is proposed. The spectrum resolution of subspace-based DOA estimation algorithm can be improved by forming the spatial spectrum using projection vectors. Theoretical analysis and numerical simulations demonstrate the efficiency of the CNSP method.

机译：提出了一种使用常规波束形成获得的信号协方差矩阵构建噪声子空间投影（CNSP）的新方法。通过使用投影矢量形成空间光谱，可以提高基于子空间的DOA估计算法的光谱分辨率。理论分析和数值模拟证明了CNSP方法的有效性。

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《》|2004年|p.2819-2822|共4页
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He Jin; Chen Jianwen; Liu Zhong;
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中图分类无线电电子学、电信技术;
关键词
direction-of-arrival estimation; array signal processing; covariance matrices; random noise; spectral resolution; subspace-based DOA estimation; beamforming; constructed noise subspace projection; signal covariance matrix; spatial spectrum; projection vectors; array signal processing;

机译：到达方向估计;阵列信号处理;协方差矩阵;随机噪声;频谱分辨率;基于子空间的DOA估计;波束形成;构造噪声子空间投影;信号协方差矩阵;空间频谱;投影向量;阵列信号处理;

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专利

1. Robustness of subspace-based algorithms with respect to the distribution of the noise: Application to DOA estimation [J] . Abeida Habti, Delmas Jean Pierre Signal processing . 2019,第Nova期

机译：基于子空间的算法在噪声分布方面的鲁棒性：在DOA估计中的应用
2. Robustness of subspace-based algorithms with respect to the distribution of the noise: Application to DOA estimation [J] . Abeida Habti, Delmas Jean Pierre Signal processing . 2019,第NOVa期

机译：基于子空间的算法在噪声分布方面的鲁棒性：在DOA估计中的应用
3. Suitability of Conventional 1D Noise Subspace Algorithms for DOA Estimation using Large Arrays at Millimeter Wave Band [J] . Jingxuan Wang, Lucas C. K. Hui International journal of industrial electronics and control . 2018,第2期

机译：使用大阵列在毫米波频段的常规1D噪声子空间算法的适用性
4. Improve Spectral Resolution of Subspace-Based DOA Estimation Algorithms Using Conventional Beamforming by Noise Subspace Projection [C] . He Jin, Chen Jianwen, Liu Zhong IEEE Antennas and Propagation Society International Symposium . 2004

机译：通过噪声子空间投影，通过常规波束形成改善基于子空间的DOA估计算法的光谱分辨率
5. Performance analysis of subspace-based methods for direction-of-arrival (DOA) estimation. [D] . Kuchibhotla, Hari V. S. 1990

机译：基于子空间的到达方向（DOA）估计方法的性能分析。
6. Subspace-based technique for speckle noise reduction in ultrasound images [O] . Norashikin Yahya, Nidal S Kamel, Aamir S Malik 2010

机译：基于子空间的超声图像斑点噪声降低技术
7. Robustness of subspace-based algorithms with respect to the distribution of the noise: Application to DOA estimation [O] . Habti Abeida, Jean Pierre Delmas 2019

机译：基于子空间的算法对噪声分布的鲁棒性：对DOA估计的应用
8. Performance Analysis of Subspace-Based Parameter Estimation Algorithms [R] . Vaccaro, R. J. 1990

机译：基于子空间的参数估计算法性能分析

Improve spectral resolution of subspace-based DOA estimation algorithms using conventional beamforming by noise subspace projection

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