Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar

• Published in: IEEE transactions on signal processing Vol. 68; pp. 3929 - 3944
• Main Authors: Liu, Xiang, Huang, Tianyao, Shlezinger, Nir, Liu, Yimin, Zhou, Jie, Eldar, Yonina C.
• Format: Journal Article
• Language: English
• Published: New York IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Array signal processing; Beamforming; Communication; Communication symbols; Computer simulation; Convexity; dual-function radar communication; Interference; MIMO communication; MIMO radar; multiuser MIMO; Optimization; Radar antennas; Radar beams; Radar equipment; Radar targets; Spectral bands; Spectrum sharing; Symbols; transmit beamforming; Waveforms; Wireless communication systems; Wireless communications
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2020.3004739

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.