Robust Beamforming Design for Dual-Function Radar-Communication System

In this paper, we investigate the problem of robust beamforming for multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, when there exist radar look direction mismatch and communication channel state information (CSI) error. To address these system imperfections, a...

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Vydané v:IEEE transactions on vehicular technology Ročník 72; číslo 6; s. 7508 - 7516
Hlavní autori: Liao, Bin, Xiong, Xue, Quan, Zhi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Array signal processing
Beamforming
Communication
Communications systems
Cramér-Rao Bound (CRB)
Design optimization
Dual-Function Radar-Communication (DFRC)
Interference
main beam control
MIMO communication
Quality of service
Radar
robust beamforming
Robust design
Semidefinite programming
semidefinite programming (SDP)
Sensors
Signal to noise ratio
Symbols
Tightness
ISSN:0018-9545, 1939-9359
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Popis
Shrnutí:In this paper, we investigate the problem of robust beamforming for multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, when there exist radar look direction mismatch and communication channel state information (CSI) error. To address these system imperfections, a region-of-interest (ROI) rather than a specific angle is considered for radar sensing, and the communication CSI is assumed to be available with a bounded unknown error. With these considerations, we design a robust dual-function beamformer through optimizing the radar sensing performance in terms of the energy radiated towards the ROI, while guaranteeing the communication quality-of-service (QoS) measured by the per-user signal-to-interference-plus-noise ratio (SINR) as required. For this robust design, a max-min optimization problem is formulated and a semidefinite programming (SDP) reformulation based on the S-procedure is presented. The popular semidefinite relaxation (SDR) technique is employed to solve the resulting non-convex problem, and the tightness of SDR is discussed. Further, we propose to incorporate an extra constraint of main beam control into the problem to achieve a flat magnitude response of the beampattern over the ROI. In addition, it is shown that the proposed approach is straightforwardly applicable to the scenario of multiple targets. Numerical examples are carried out to show the tightness, and demonstrate the effectiveness and robustness of the proposed MIMO-DFRC beamforming approach.
Bibliografia:ObjectType-Article-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3240234