Low-Complexity Beamformer Design for Joint Radar and Communications Systems

Joint radar and communication (JRC) system is expected to significantly improve the utilization of spectrum resources, system performance, and reduce the equipment cost and size. In this letter, a JRC system containing a collocated multi-input multi-output (MIMO) radar and a multi-user communication base station is considered, which can serve several downlink users and detect multiple targets simultaneously. The radar signal covariance matrix and the communication physical precoder are jointly designed by matching the desired beampattern for radar detection while maximizing the downlink communication signal to interference and noise ratio (SINR). By relaxing the original problems, the iterative process with closed-form expressions is proposed to obtain the sub-optimal solutions of the system. Compared with solving the optimization problems directly, the proposed algorithm can significantly reduce the computational complexity with a little loss of system performance. Finally, simulation results show the effectiveness of the proposed algorithm.

[1]  Geert Molenberghs,et al.  Transformation of non positive semidefinite correlation matrices , 1993 .

[2]  Lei Huang,et al.  Optimum Co-Design of Spectrum Sharing Between MIMO Radar and MIMO Communication Systems: An Interference Alignment Approach , 2018, IEEE Transactions on Vehicular Technology.

[3]  Bryan Paul,et al.  Survey of RF Communications and Sensing Convergence Research , 2017, IEEE Access.

[4]  Wei Yu,et al.  Fractional Programming for Communication Systems—Part I: Power Control and Beamforming , 2018, IEEE Transactions on Signal Processing.

[5]  Lajos Hanzo,et al.  Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead , 2019, IEEE Transactions on Communications.

[6]  William H. Tranter,et al.  A nullspace-based precoder with subspace expansion for radar/communications coexistence , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[7]  D. Fuhrmann,et al.  Transmit beamforming for MIMO radar systems using signal cross-correlation , 2008, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Xu Wang,et al.  On the Design of Constant Modulus Probing Signals for MIMO Radar , 2012, IEEE Transactions on Signal Processing.

[9]  Zhi Quan,et al.  Joint radar and communication: A survey , 2020, China Communications.

[10]  Marco Lops,et al.  Joint Design of Overlaid Communication Systems and Pulsed Radars , 2017, IEEE Transactions on Signal Processing.

[11]  Awais Khawar,et al.  Spectral Coexistence of MIMO Radar and MIMO Cellular System , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Zishu He,et al.  Joint System Design for Coexistence of MIMO Radar and MIMO Communication , 2018, IEEE Transactions on Signal Processing.

[13]  Yimin Zhang,et al.  Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity , 2016, IEEE Transactions on Signal Processing.

[14]  Shabnam Sodagari,et al.  A projection based approach for radar and telecommunication systems coexistence , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[15]  Christos Masouros,et al.  Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design , 2017, IEEE Transactions on Signal Processing.

[16]  Bernard Mulgrew,et al.  Unconstrained Synthesis of Covariance Matrix for MIMO Radar Transmit Beampattern , 2011, IEEE Transactions on Signal Processing.

[17]  Yonina C. Eldar,et al.  Radar and Communication Coexistence: An Overview: A Review of Recent Methods , 2019, IEEE Signal Processing Magazine.

[18]  Jian Li,et al.  Waveform Synthesis for Diversity-Based Transmit Beampattern Design , 2007, IEEE Transactions on Signal Processing.

[19]  Lajos Hanzo,et al.  MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission , 2017, IEEE Transactions on Wireless Communications.

[20]  Zhi-Quan Luo,et al.  Semidefinite Relaxation of Quadratic Optimization Problems , 2010, IEEE Signal Processing Magazine.

[21]  Tharmalingam Ratnarajah,et al.  Robust MIMO Beamforming for Cellular and Radar Coexistence , 2016, IEEE Wireless Communications Letters.

[22]  Athina P. Petropulu,et al.  Joint Transmit Designs for Coexistence of MIMO Wireless Communications and Sparse Sensing Radars in Clutter , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Ziyang Cheng,et al.  Constrained waveform design for dual-functional MIMO radar-Communication system , 2020, Signal Process..

[24]  Moeness G. Amin,et al.  Signaling strategies for dual-function radar communications: an overview , 2016, IEEE Aerospace and Electronic Systems Magazine.

[25]  Athina P. Petropulu,et al.  Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System , 2015, IEEE Transactions on Signal Processing.