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 g...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/218 |
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| author | Guanchao Chen Xiaolong Su Lida He Dongfang Guan Zhen Liu |
| author_facet | Guanchao Chen Xiaolong Su Lida He Dongfang Guan Zhen Liu |
| author_sort | Guanchao Chen |
| collection | DOAJ |
| description | 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 <i>ℓ</i><sub>1</sub> norm singular value decomposition (<i>ℓ</i><sub>1</sub>-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. |
| format | Article |
| id | doaj-art-229c38655f034c0f997e903a679e0afb |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-229c38655f034c0f997e903a679e0afb2025-01-24T13:47:45ZengMDPI AGRemote Sensing2072-42922025-01-0117221810.3390/rs17020218Coherent Signal DOA Estimation Method Based on Space–Time–Coding MetasurfaceGuanchao Chen0Xiaolong Su1Lida He2Dongfang Guan3Zhen Liu4The College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaA 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 <i>ℓ</i><sub>1</sub> norm singular value decomposition (<i>ℓ</i><sub>1</sub>-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.https://www.mdpi.com/2072-4292/17/2/218DOA estimationspace–time–coding metasurfacecoherent signalsharmonic analysis<i>ℓ</i><sub>1</sub>-SVD |
| spellingShingle | Guanchao Chen Xiaolong Su Lida He Dongfang Guan Zhen Liu Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface Remote Sensing DOA estimation space–time–coding metasurface coherent signals harmonic analysis <i>ℓ</i><sub>1</sub>-SVD |
| title | Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface |
| title_full | Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface |
| title_fullStr | Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface |
| title_full_unstemmed | Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface |
| title_short | Coherent Signal DOA Estimation Method Based on Space–Time–Coding Metasurface |
| title_sort | coherent signal doa estimation method based on space time coding metasurface |
| topic | DOA estimation space–time–coding metasurface coherent signals harmonic analysis <i>ℓ</i><sub>1</sub>-SVD |
| url | https://www.mdpi.com/2072-4292/17/2/218 |
| work_keys_str_mv | AT guanchaochen coherentsignaldoaestimationmethodbasedonspacetimecodingmetasurface AT xiaolongsu coherentsignaldoaestimationmethodbasedonspacetimecodingmetasurface AT lidahe coherentsignaldoaestimationmethodbasedonspacetimecodingmetasurface AT dongfangguan coherentsignaldoaestimationmethodbasedonspacetimecodingmetasurface AT zhenliu coherentsignaldoaestimationmethodbasedonspacetimecodingmetasurface |