Research on DOA estimation method of millimeter wave radar based on sparse reconstruction

Chao Lv; Dongqi Liu; Guozheng Li; Xun Huang

doi:10.1117/12.3050294

18 November 2024 Research on DOA estimation method of millimeter wave radar based on sparse reconstruction

Chao Lv, Dongqi Liu, Guozheng Li, Xun Huang

Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 133981K (2024) https://doi.org/10.1117/12.3050294
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China

Abstract

In this paper, an adaptive grid DOA estimation algorithm based on sparse Bayesian learning (LMSBL) is proposed. Compared with the traditional off-grid EM-SBL algorithm, the proposed algorithm overcomes the problem of insufficient estimation caused by excessive grid spacing, improves the estimation accuracy and shorens the program running time under the condition of low SNR. In this algorithm, the grid position is regarded as variable, and the fast factor maximization method is combined to estimate the grid position coarse by dichotomous method, and then fine-estimated by root-updating grid algorithm. Experimental results show that the proposed algorithm is more accurate and faster than the off-grid EM-SBL algorithm under the condition of low SNR and large grid spacing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chao Lv, Dongqi Liu, Guozheng Li, and Xun Huang "Research on DOA estimation method of millimeter wave radar based on sparse reconstruction", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 133981K (18 November 2024); https://doi.org/10.1117/12.3050294

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KEYWORDS

Expectation maximization algorithms

Reconstruction algorithms

Signal to noise ratio

Space based lasers

Matrices

Detection and tracking algorithms

Computer simulations

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