Converging Radar and Communications in the Superposition Transmission

TL;DR

This paper introduces a superposition transmission scheme for RF convergence, analyzing joint radar and communication performance under QoS constraints, and compares waveform effects on radar accuracy.

Contribution

It presents a novel superposition transmission approach for RF convergence and evaluates the impact of waveform shapes on radar estimation within this framework.

Findings

Moderate QoS ensures fair communication performance.

Linear FM and parabolic FM waveforms influence radar accuracy.

Numerical analysis shows limited radar degradation with good QoS.

Abstract

This paper proposes a superposition transmission scheme for the future Radio Frequency (RF) convergence applications. The scheme is discussed under the assumption of a mono-static broadcasting channel topology. Under communications quality-of-service (QoS) constraints, the joint performance region of communications sum rate and radar estimation error variance is studied. Two radar signal waveforms, namely linear FM and parabolic FM, are used to investigate how signal shapes may influence the estimation accuracy. Both waveforms are generated with rectangular envelope. In the end, a numerical analysis is applied, which concludes that a moderate communications QoS promises a good communications fairness while with the limited radar performance degradation.