Coexistence Designs of Radar and Communication Systems in a Multi-path Scenario
Haoyu Zhang, Li Chen, Kaifeng Han, Yunfei Chen, Guo Wei

TL;DR
This paper proposes a joint design approach for spectrum sharing between MIMO radar and communication systems in multi-path environments, optimizing interference suppression and system performance.
Contribution
It introduces a novel joint optimization framework for precoder, radar waveform, and filter design in multi-path scenarios, addressing mutual interference challenges.
Findings
Optimized joint design improves radar SINR and communication rate.
The proposed algorithm effectively suppresses mutual interference.
Simulation results validate the approach's effectiveness.
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…
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Taxonomy
TopicsRadar Systems and Signal Processing
