Radar and Communication Co-existence: an Overview

Abstract

Increased amounts of bandwidth are required to guarantee both high-quality/high-rate wireless services (4G and 5G) and reliable sensing capabilities such as automotive radar, air traffic control, earth geophysical monitoring and security applications. Therefore, co-existence between radar and communication systems using overlapping bandwidths has been a primary investigation field in recent years. Various signal processing techniques such as interference mitigation, pre-coding or spatial separation, and waveform design allow both radar and communications to share the spectrum. This article reviews recent work on co-existence between radar and communication systems, including signal models, waveform design and signal processing techniques. Our goal is to survey contributions in this area in order to provide a primary starting point for new researchers interested in these problems.

RadRCom: A Relay-Assisted Radar Communication System Design Framework

“…Beyond the energy constraint, a similarity constraint is enforced, aligning the radar code with a reference code of unit energy, denoted as c 0 . This similarity constraint guarantees a specified resemblance between the radar code and the reference code with unit energy [4], [34]. For radar-centric scenarios, our main objective is to maximize the SINR of the radar.…”

“…The optimization framework for the radar centric aspect can be formulated as follows [4], [34] α opt , c opt r , w opt = arg α,cr,w max γ,…”

“…In addition to the energy constraint, a similarity constraint is imposed, aligning the radar code with a unit energy reference code, denoted as c 0 . The similarity constraint ensures a prescribed resemblance between the radar code and the reference code with unit energy [4], [34] and ϵ is a design parameter related to the error.…”

“…Furthermore, Pareto optimization in the coexistence scenario can be a future direction for our research work. Therefore, in line with other works in RadCom domain [34], we have chosen to focus separately on radar-centric and communication-centric optimization problems so that the decision is grounded in the acknowledgment that achieving optimal performance in one domain while preserving the performance of the other system is a delicate balancing act. For instance, in radarcentric optimization, our primary goal is to maximize the SINR at the radar while simultaneously constraining the MSE of communication to maintain a trade-off between the two.…”