Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna
The Direction-of-Arrival (DOA) estimation method using traditional array antennas cannot dynamically adjust the observation angle range based on the Region of Interest (ROI), which leads to limited estimation accuracy and high computational complexity. To address the above issue, this paper proposes...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/27/4/335 |
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| author | Lilong Hou Liang Jin Kaizhi Huang Shuaifang Xiao Yangming Lou Yajun Chen |
| author_facet | Lilong Hou Liang Jin Kaizhi Huang Shuaifang Xiao Yangming Lou Yajun Chen |
| author_sort | Lilong Hou |
| collection | DOAJ |
| description | The Direction-of-Arrival (DOA) estimation method using traditional array antennas cannot dynamically adjust the observation angle range based on the Region of Interest (ROI), which leads to limited estimation accuracy and high computational complexity. To address the above issue, this paper proposes a Beamspace Spatial Smoothing MUltiple SIgnal Classification (BSS-MUSIC) DOA estimation method using a Dynamic Metasurface Antenna (DMA). Specifically, we propose a new DMA model with a single RF chain and exploit its flexibility to design a time-division data reception scheme. Based on this scheme, we dynamically select the ROI and increase the beam density in the ROI with an appropriate number of beam patterns. Next, a BSS algorithm is proposed to decohere the multipath signals in beamspace without reverting to the element space. Subsequently, we convert the 2D DOA estimation into two 1D beamspace MUSIC DOA estimations. After pairing the elevation and azimuth angles, the complex gains of each path are derived. Simulation results show that the proposed method can achieve higher estimation accuracy with lower computational complexity. |
| format | Article |
| id | doaj-art-53b0b318ee874df087f501f6d871eead |
| institution | OA Journals |
| issn | 1099-4300 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj-art-53b0b318ee874df087f501f6d871eead2025-08-20T02:17:25ZengMDPI AGEntropy1099-43002025-03-0127433510.3390/e27040335Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface AntennaLilong Hou0Liang Jin1Kaizhi Huang2Shuaifang Xiao3Yangming Lou4Yajun Chen5Wireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaWireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaWireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaWireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaWireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaWireless Communication Technology Office, Information Engineering University, Zhengzhou 450002, ChinaThe Direction-of-Arrival (DOA) estimation method using traditional array antennas cannot dynamically adjust the observation angle range based on the Region of Interest (ROI), which leads to limited estimation accuracy and high computational complexity. To address the above issue, this paper proposes a Beamspace Spatial Smoothing MUltiple SIgnal Classification (BSS-MUSIC) DOA estimation method using a Dynamic Metasurface Antenna (DMA). Specifically, we propose a new DMA model with a single RF chain and exploit its flexibility to design a time-division data reception scheme. Based on this scheme, we dynamically select the ROI and increase the beam density in the ROI with an appropriate number of beam patterns. Next, a BSS algorithm is proposed to decohere the multipath signals in beamspace without reverting to the element space. Subsequently, we convert the 2D DOA estimation into two 1D beamspace MUSIC DOA estimations. After pairing the elevation and azimuth angles, the complex gains of each path are derived. Simulation results show that the proposed method can achieve higher estimation accuracy with lower computational complexity.https://www.mdpi.com/1099-4300/27/4/335two-dimensional direction-of-arrival estimation2D DOAbeamspace space smoothing musicdynamic metasurface antennaDMA |
| spellingShingle | Lilong Hou Liang Jin Kaizhi Huang Shuaifang Xiao Yangming Lou Yajun Chen Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna Entropy two-dimensional direction-of-arrival estimation 2D DOA beamspace space smoothing music dynamic metasurface antenna DMA |
| title | Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna |
| title_full | Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna |
| title_fullStr | Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna |
| title_full_unstemmed | Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna |
| title_short | Beamspace Spatial Smoothing MUSIC DOA Estimation Method Using Dynamic Metasurface Antenna |
| title_sort | beamspace spatial smoothing music doa estimation method using dynamic metasurface antenna |
| topic | two-dimensional direction-of-arrival estimation 2D DOA beamspace space smoothing music dynamic metasurface antenna DMA |
| url | https://www.mdpi.com/1099-4300/27/4/335 |
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