Scinovex
article Open AccessTop 1% cited

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar

IEEE Transactions on Signal Processing · 2020 · Vol. 68 · pp. 3929–3944
Xiang LiuTianyao HuangNir ShlezingerYimin LiuJie ZhouYonina C. Eldar

Abstract

Future wireless communication systems are expected to explore spectral bands typically used by radar systems, in order to overcome spectrum congestion of traditional communication bands. Since in many applications radar and communication share the same platform, spectrum sharing can be facilitated by joint design as a dual-function radar-communications system. In this paper, we propose a joint transmit beamforming model for a dual-function multiple-input-multiple-output (MIMO) radar and multiuser MIMO communication transmitter. The proposed dual-function system transmits the weighted sum of independent radar waveforms and communication symbols, forming multiple beams towards the radar targets and the communication receivers, respectively. The design of the weighting coefficients is formulated as an optimization problem whose objective is the performance of the MIMO radar transmit beamforming, while guaranteeing that the signal-to-interference-plus-noise ratio (SINR) at each communication user is higher than a given threshold. Despite the non-convexity of the proposed optimization problem, we prove that it can be relaxed into a convex one, where the relaxation is tight. We then propose a reduced complexity design based on zero-forcing the inter-user interference and radar interference. Unlike previous works, which focused on the transmission of communication symbols to synthesize a radar transmit beam pattern, our method provides more degrees of freedom for MIMO radar and is thus able to obtain improved radar performance, as demonstrated in our simulation study. Furthermore, the proposed dual-function scheme approaches the radar performance of the radar-only scheme, i.e., without spectrum sharing, under reasonable communication quality constraints.

Radar Systems and Signal ProcessingAdvanced SAR Imaging TechniquesPAPR reduction in OFDMComputer scienceBeamformingRadarMIMOElectronic engineeringTelecommunicationsAlgorithmEngineering

Funding

  • Futurewei Technologies
  • National Natural Science Foundation of China
  • Air Force Office of Scientific Research
Citations
876
FWCI
511.13
field-weighted impact
References
84
Percentile
100%
vs. same field & year
Citations per year
Cited by
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
IEEE Journal on Selected Areas in Communications · 2022 · 2,946 citations
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
IEEE Transactions on Signal Processing · 2020 · 876 citations
References
Crosscorrelation properties of pseudorandom and related sequences
Proceedings of the IEEE · 1980 · 1,592 citations
Transmitter Optimization for the Multi-Antenna Downlink With Per-Antenna Power Constraints
IEEE Transactions on Signal Processing · 2007 · 854 citations
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
IEEE Journal on Selected Areas in Communications · 2007 · 754 citations
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications · 2006 · 2,087 citations
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing · 2007 · 1,020 citations
Solution of the Multiuser Downlink Beamforming Problem With Individual SINR Constraints
IEEE Transactions on Vehicular Technology · 2004 · 1,209 citations
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing · 2006 · 1,214 citations
IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System
IEEE Transactions on Vehicular Technology · 2017 · 687 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar · Scinovex