Coexistence designs of radar and communications systems in a multi-path scenario

Zhang, H.; Chen, L.; Han, K.; Chen, Y.; Wei, G.

Abstract

The focus of this study is on the spectrum sharing between multiple-input multiple-output (MIMO) communications and co-located MIMO radar systems in multi-path environments. The major challenge is to suppress the mutual interference between the two systems while combining the useful multi-path components received at each system. We tackle this challenge by jointly designing the communication precoder, radar transmit waveform and receive filter. Specifically, the signal-to-interference-plus-noise ratio (SINR) at the radar receiver is maximized subject to constraints on the radar waveform, communication rate and transmit power. The multi-path propagation complicates the expressions of the radar SINR and communication rate, leading to a non-convex problem. To solve it, a sub-optimal algorithm based on the alternating maximization is used to optimize the precoder, radar transmit waveform and receive filter iteratively. Simulation results are provided to demonstrate the effectiveness of the proposed design.

Citation

Zhang, H., Chen, L., Han, K., Chen, Y., & Wei, G. (2023). Coexistence designs of radar and communications systems in a multi-path scenario. IEEE Transactions on Vehicular Technology, https://doi.org/10.1109/TVT.2023.3325544

• Journal Article Type: Article
• Acceptance Date: Oct 9, 2023
• Online Publication Date: Oct 18, 2023
• Publication Date: 2023
• Deposit Date: Oct 17, 2023
• Publicly Available Date: Oct 24, 2023
• Journal: IEEE Transactions on Vehicular Technology
• Print ISSN: 0018-9545
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/TVT.2023.3325544
• Public URL: https://durham-repository.worktribe.com/output/1804441