Discrete-Phase Sequence Design for Coexistence of MIMO Radar and MIMO Communications

We consider the problem of designing discrete-phase transmit waveform for multiple-input-multiple-output (MIMO) radar to enable its coexistence with MIMO communications. The signal reflected from the target is contaminated with noise, clutter, and interfering communications signal from the base station. We jointly design the radar transmit waveform and its corresponding receive filter in order to maximize the signal-to-interference-plus-noise-ratio with the constant communications rate constraint. In general, this design problem is NP-hard, multi-variable, and non-convex. Contrary to prior works, we tackle this by employing coordinate descent at the waveform design stage. Numerical experiments indicate that the proposed method monotonically increases the signal to noise and interference ratio, while designing discrete phase sequences.

[1]  Lingjiang Kong,et al.  Space-time transmit code and receive filter design for colocated MIMO radar , 2016, 2016 IEEE Radar Conference (RadarConf).

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

[3]  Friedrich Jondral,et al.  Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation , 2017, IEEE Signal Processing Magazine.

[4]  Sandeep Rao,et al.  MIMO Radar , 2009 .

[5]  A. Aubry,et al.  A new radar waveform design algorithm with improved feasibility for spectral coexistence , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Murat Torlak,et al.  Automotive Radars: A review of signal processing techniques , 2017, IEEE Signal Processing Magazine.

[7]  J. Capon High-resolution frequency-wavenumber spectrum analysis , 1969 .

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

[9]  Augusto Aubry,et al.  A Coordinate-Descent Framework to Design Low PSL/ISL Sequences , 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]  M. R. Bhavani Shankar,et al.  OFDM-based automotive joint radar-communication system , 2018, 2018 IEEE Radar Conference (RadarConf18).

[12]  Xiaodong Wang,et al.  Joint design for co-existence of MIMO radar and MIMO communication system , 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

[13]  Kaare Brandt Petersen,et al.  The Matrix Cookbook , 2006 .

[14]  Björn E. Ottersten,et al.  Binary Sequences Set with Small ISL for MIMO Radar Systems , 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

[15]  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.

[16]  Björn E. Ottersten,et al.  Joint automotive radar-communications waveform design , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[17]  Augusto Aubry,et al.  Optimizing Radar Waveform and Doppler Filter Bank via Generalized Fractional Programming , 2015, IEEE Journal of Selected Topics in Signal Processing.

[18]  S. M. Karbasi,et al.  Knowledge-based design of space–time transmit code and receive filter for a multiple-input–multiple-output radar in signal-dependent interference , 2015 .

[19]  Mohammad Mahdi Naghsh,et al.  An Information Theoretic Approach to Robust Constrained Code Design for MIMO Radars , 2017, IEEE Transactions on Signal Processing.

[20]  Stephen J. Wright Coordinate descent algorithms , 2015, Mathematical Programming.

[21]  Augusto Aubry,et al.  Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter , 2013, IEEE Transactions on Aerospace and Electronic Systems.