Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing
Yuanhao Cui, Xiaojun Jing, Visa Koivunen

TL;DR
This paper introduces a joint precoder-decoder design for spectrum sharing between radar and communication systems, effectively canceling interference and enhancing detection and data rates.
Contribution
It proposes a nullspace-based co-design approach using max-SINR and interference alignment, achieving near-ideal interference cancellation in shared spectrum systems.
Findings
Interference can be practically fully canceled in both systems.
Detection performance in radar is improved.
Communication data rates are increased.
Abstract
Radar and modern communication systems are both evaluating towards higher frequency bands and massive antenna arrays, thus increasing their similarities in terms of hardware structure, channel characteristics, and signal processing pipelines. To suppress the cross-system interference caused by communications and radar systems with shared spectral and hardware resources, the co-design philosophy, wherein the communications and radar/sensing systems can operate in parallel with jointly optimized performance, has drawn substantial attention from both academia and industry. In this paper, we propose a nullspace-based joint precoder-decoder design for spectrum sharing between multicarrier radar and multiuser multicarrier communication systems, by employing the maximizing signal interference noise ratio (max-SINR) criterion and interference alignment (IA) constraints. By projecting the…
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Taxonomy
TopicsRadar Systems and Signal Processing · PAPR reduction in OFDM · Antenna Design and Optimization
