SVD-based angular difference estimation

Yutong Wu; Dazhuan Xu; Ying Zhou; Jingjing Pan

doi:10.1117/12.2631908

14 April 2022 SVD-based angular difference estimation

Yutong Wu, Dazhuan Xu, Ying Zhou, Jingjing Pan

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780E (2022) https://doi.org/10.1117/12.2631908
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

The paper studies the estimation of the angular difference between adjacent sources in a uniform linear array. When there is additive Gaussian noise, in order to obtain the eigenvalue expression related to the signal, we can apply singular value decomposition, getting the eigenvalue of the spatial covariance matrix. One of the feature values is related to the degree of difference between the two sources, and the expression of the angular difference estimation is derived using this difference. The larger the observed samples, the more precise the estimation. The experimental results prove our theoretical analysis. Meanwhile, the feasibility of the proposed estimation method has been proved. Importantly, the results of this paper have pragmatic guiding meaning for array signal processing.

Citation Download Citation

Yutong Wu, Dazhuan Xu, Ying Zhou, and Jingjing Pan "SVD-based angular difference estimation", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780E (14 April 2022); https://doi.org/10.1117/12.2631908

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