Abstract
In this article, the problem of linear precoding and radar receive beamforming design for joint radar-communication (JRC) systems is studied. A multiple antenna base station (BS) that serves multiple single-antenna user terminals on the downlink is assumed. Furthermore, the BS employs a simultaneous radar function in the form of point-like target detection from the reflected return signals in a signal-dependent interference environment. In this work, we jointly design the JRC linear precoder and the radar receive beamformer, thus aiming to optimize the performance of the radar part while maintaining a desired quality of service (QoS) for the communication one subject to a total transmit power constraint. To that end, we formulate a challenging fractional nonconvex optimization problem via which the optimal precoder and radar receive beamformer are derived. Then, we develop algorithmic solutions based on the majorization-minimization (MM) principle and the semidefinite relaxation (SDR) methodology for the formulated optimization problem. The performance of both the proposed solutions is examined and compared to the one of a system that supports only the radar functionality via numerical results.
| Original language | English |
|---|---|
| Pages (from-to) | 778-790 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Radar Systems |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2024 |
Free Keywords
- Beamforming
- Dinkelbach method
- joint radar-communication (JRC)
- majorization-minimization (MM)
- precoding
- semidefinite programming (SDP)
- spectrum sharing
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Signal Processing
- Control and Systems Engineering
- Automotive Engineering
- Artificial Intelligence
- Atmospheric Science
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