Information Theoretic Approach for Waveform Design in Coexisting MIMO Radar and MIMO Communications
Mohammad Alaee-Kerahroodi, Shankar Mysore Rama R. Bhavani, Kumar Vijay Mishra, Björn E. Ottersten
Abstract
We investigate waveform design for coexistence between a multiple-input multiple-output (MIMO) radar and MIMO communications (MRMC), with a radar-centric criterion that leads to a minimal interference in the communications system. The communications use the traditional mode of operation in Long Term Evolution (LTE)/Advanced (FDD), where we formulate the design problem based on information-theoretic criterion with the discrete phase constraint at the design stage. The optimization problem, is non-convex, multi-objective and multi-variable, where we propose an efficient algorithm based on the coordinate descent (CD) framework to simultaneously improve radar target detection performance and the communications rate. The numerical results indicate the effectiveness of the proposed algorithm in designing discrete phase set of sequences, potentially binary.
BibTeX
@inproceedings{icassp2020_informationtheor,
title = {Information Theoretic Approach for Waveform Design in Coexisting MIMO Radar and MIMO Communications},
author = {Mohammad Alaee-Kerahroodi and Shankar Mysore Rama R. Bhavani and Kumar Vijay Mishra and Björn E. Ottersten},
booktitle = {ICASSP 2020},
year = {2020}
}