Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface

A novel method for the direction of arrival (DOA) estimation of coherent signals under a space–time–coding metasurface (STCM) is proposed in this paper. Noticeably, the STCM can replace multi-channel arrays with a single channel, which can be utilized to modulate incident electromagnetic waves and generate harmonics. However, coherent signals are overlapping in the frequency spectrum and cannot achieve DOA estimation through subspace methods. Therefore, the proposed method transforms the angle information in the time domain into amplitude and phase information at harmonics in the frequency domain by modulating incident coherent signals using the STCM and performing a fast Fourier transform (FFT) on these signals. Based on the harmonics in the frequency spectrum of the coherent signals, appropriate harmonics are selected. Finally, the ℓ1 norm singular value decomposition (ℓ1-SVD) algorithm is utilized for achieving high-precision DOA estimation. Simulation experiments are conducted to show the performance of the proposed method under the condition of different incident angles, harmonic numbers, signal-to-noise ratios (SNRs), etc. Compared to the traditional algorithms, the performance of the proposed algorithm can achieve more accurate DOA estimation under a low SNR.

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Publication Details

Journal
Remote Sensing
Published
2025-01-09
DOI
https://doi.org/10.3390/rs17020218
Citations
9
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
6.57

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article

Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface

Dongfang Guan, Xiaolong Su, Guanchao Chen, Zhen Liu et al.
9 citations
Remote Sensing
Indoor and Outdoor Localization Technologies
6.57
article

Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface

Dongfang Guan, Xiaolong Su, Guanchao Chen, Zhen Liu, Lida He
article en
9 citations

Abstract

A novel method for the direction of arrival (DOA) estimation of coherent signals under a space–time–coding metasurface (STCM) is proposed in this paper. Noticeably, the STCM can replace multi-channel arrays with a single channel, which can be utilized to modulate incident electromagnetic waves and generate harmonics. However, coherent signals are overlapping in the frequency spectrum and cannot achieve DOA estimation through subspace methods. Therefore, the proposed method transforms the angle information in the time domain into amplitude and phase information at harmonics in the frequency domain by modulating incident coherent signals using the STCM and performing a fast Fourier transform (FFT) on these signals. Based on the harmonics in the frequency spectrum of the coherent signals, appropriate harmonics are selected. Finally, the ℓ1 norm singular value decomposition (ℓ1-SVD) algorithm is utilized for achieving high-precision DOA estimation. Simulation experiments are conducted to show the performance of the proposed method under the condition of different incident angles, harmonic numbers, signal-to-noise ratios (SNRs), etc. Compared to the traditional algorithms, the performance of the proposed algorithm can achieve more accurate DOA estimation under a low SNR.

Remote SensingVol. 17(2)
National University of Defense Technology (CN)
National Natural Science Foundation of China, National University of Defense Technology
Openalex Percentile: Top 4%
Indoor and Outdoor Localization Technologies
6.57
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Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface — Dongfang Guan, Xiaolong Su, et al. · Remote Sensing (2025) | TGRS Research Map | TGRS