Underdetermined DOA estimation of wideband nonstationary signals based on ANM

Jiahui Bing; Yougen Xu; Yi Liang

doi:10.1117/12.3054391

3 January 2025 Underdetermined DOA estimation of wideband nonstationary signals based on ANM

Jiahui Bing, Yougen Xu, Yi Liang

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 1344216 (2025) https://doi.org/10.1117/12.3054391
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

An underdetermined direction-of-arrival (DOA) estimation method is proposed for wideband non-stationary signals based on atomic norm minimization. In scenarios where signals exhibit completely overlapped time-frequency distributions (TFDs), the spatial time-frequency distribution (STFD) matrix becomes rank deficient, making it impossible to separate signals based on their time-frequency characteristics. This proposed method uses multiple snapshots atom norm minimization to achieve an ideal average STFD matrix and enables underdetermined DOA estimations of wideband nonstationary signals with completely overlapped TFDs, without aperture loss or the need for arrays to possess spatial translation invariant structures. Moreover, the proposed method involves interpolating the sparse array into a virtual uniform linear array to enhance array processing degree freedom. Simulation results illustrate the efficacy of the proposed method.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiahui Bing, Yougen Xu, and Yi Liang "Underdetermined DOA estimation of wideband nonstationary signals based on ANM", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 1344216 (3 January 2025); https://doi.org/10.1117/12.3054391

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