Joint MIMO Communication and MIMO Radar Under Different Practical Waveform Constraints

A joint transceiver coexistence design of multiple-input multiple-output (MIMO) communication and MIMO radar is addressed under different practical waveform constraints. Without radar waveform constraints, the conventional optimal waveforms can result in large modulus variation and poor range resolution. To tackle these problems, the constant-modulus and/or similarity constraints are added in this work. The proposed constant-modulus waveform constraint is favoured by the cheap and efficient nonlinear power amplifier, and the proposed similarity constraint provides a flexible control on modulus variation, range resolution and transmit power, at the cost of a small extra computational complexity.

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

[2]  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.

[3]  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.

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

[5]  Hongbin Li,et al.  MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints , 2014, IEEE Transactions on Signal Processing.

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

[7]  Jian Li,et al.  Constant Modulus Waveform Design for MIMO Radar Transmit Beampattern , 2017, IEEE Transactions on Signal Processing.

[8]  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.

[9]  Vishal Monga,et al.  Successive QCQP Refinement for MIMO Radar Waveform Design Under Practical Constraints , 2016, IEEE Transactions on Signal Processing.

[10]  Bjorn Ottersten,et al.  A mmWave Automotive Joint Radar-Communications System , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Sumei Sun,et al.  Joint Radar-Communication With Cyclic Prefixed Single Carrier Waveforms , 2020, IEEE Transactions on Vehicular Technology.

[12]  Athina P. Petropulu,et al.  Waveform Design for MIMO Radars With Matrix Completion , 2015, IEEE Journal of Selected Topics in Signal Processing.

[13]  Wen-Qin Wang,et al.  Ergodic Interference Alignment for Spectrum Sharing Radar-Communication Systems , 2019, IEEE Transactions on Vehicular Technology.

[14]  Wei Yu,et al.  An introduction to convex optimization for communications and signal processing , 2006, IEEE Journal on Selected Areas in Communications.

[15]  Jian Li,et al.  Signal Waveform's Optimal-under-Restriction Design for Active Sensing , 2006, IEEE Signal Processing Letters.

[16]  Anthony Man-Cho So,et al.  On approximating complex quadratic optimization problems via semidefinite programming relaxations , 2005, IPCO.