Optimum Design for Coexistence Between Matrix Completion Based MIMO Radars and a MIMO Communication System

TL;DR

This paper develops optimized spectrum sharing strategies for MIMO-MC radars and communication systems, minimizing interference while maintaining communication quality, through noncooperative, cooperative, and joint design approaches.

Contribution

It introduces novel design methods for spectrum sharing that reduce interference between MIMO-MC radars and communication systems, including joint optimization of radar sampling and communication covariance.

Findings

Effective interference power is minimized with the proposed designs.

Joint design achieves greater interference reduction than separate approaches.

The methods maintain communication capacity while reducing radar interference.

Abstract

Recently proposed multiple input multiple output radars based on matrix completion (MIMO-MC) employ sparse sampling to reduce the amount of data that need to be forwarded to the radar fusion center, and as such enable savings in communication power and bandwidth. This paper proposes designs that optimize the sharing of spectrum between a MIMO-MC radar and a communication system, so that the latter interferes minimally with the former. First, the communication system transmit covariance matrix is designed to minimize the effective interference power (EIP) to the radar receiver, while maintaining certain average capacity and transmit power for the communication system. Two approaches are proposed, namely a noncooperative and a cooperative approach, with the latter being applicable when the radar sampling scheme is known at the communication system. Second, a joint design of the communication transmit covariance matrix and the MIMO-MC radar sampling scheme is proposed, which achieves even further EIP reduction.