Optimal Beamforming for Bistatic MIMO Sensing
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914003173769216 |
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| author | Laas, Tobias Boehnke, Ronald Xu, Wen |
| author_facet | Laas, Tobias Boehnke, Ronald Xu, Wen |
| contents | This paper considers the beamforming optimization for sensing a point-like scatterer using a bistatic multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) radar, which could be part of a joint communication and sensing system. The goal is to minimize the Cramér-Rao bound on the target position's estimation error, where the radar already knows an approximate position that is taken into account in the optimization. The optimization considers multiple subcarriers, and permits beamforming with more than one beam per subcarrier. We discuss the properties of optimal beamforming solutions, including the case of a known channel gain. Numerical results show that beamforming with at most one beam per subcarrier is optimal for certain parameters, but for other parameters, optimal solutions need two beams on some subcarriers. In addition, the degree of freedom which end of the bistatic radar should transmit and receive in a bidirectional radar is considered. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_01197 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimal Beamforming for Bistatic MIMO Sensing Laas, Tobias Boehnke, Ronald Xu, Wen Signal Processing Information Theory This paper considers the beamforming optimization for sensing a point-like scatterer using a bistatic multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) radar, which could be part of a joint communication and sensing system. The goal is to minimize the Cramér-Rao bound on the target position's estimation error, where the radar already knows an approximate position that is taken into account in the optimization. The optimization considers multiple subcarriers, and permits beamforming with more than one beam per subcarrier. We discuss the properties of optimal beamforming solutions, including the case of a known channel gain. Numerical results show that beamforming with at most one beam per subcarrier is optimal for certain parameters, but for other parameters, optimal solutions need two beams on some subcarriers. In addition, the degree of freedom which end of the bistatic radar should transmit and receive in a bidirectional radar is considered. |
| title | Optimal Beamforming for Bistatic MIMO Sensing |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2405.01197 |