A Joint Beamforming Design and Integrated CPM-LFM Signal for Dual-functional Radar-communication Systems

TL;DR

This paper introduces a novel joint beamforming and integrated CPM-LFM signal design for dual-functional radar-communication systems, optimizing sum-rate performance while supporting multiuser transmission and target detection.

Contribution

It proposes a new precoding scheme with integrated CPM-LFM signals and a dual mode framework, including algorithms for joint beamforming and user selection, enhancing system performance.

Findings

Achieves higher sum-rate compared to classical schemes

Effectively balances radar and communication performance

Validates system efficiency through simulations

Abstract

The dual-functional radar-communication (DFRC) system is an attractive technique, since it can support both wireless communications and radar by a unified hardware platform with real-time cooperation. Considering the appealing feature of multiple beams, this paper proposes a precoding scheme that simultaneously support multiuser transmission and target detection, with an integrated continuous phase modulation (CPM) and linear frequency modulation (LFM) signal, based on the designed dual mode framework. Similarly to the conception of communication rate, this paper defines radar rate to unify the DFRC system. Then, the maximum sum-rate that includes both the communication and radar rates is set to be the objective function. Regarding as the optimal issue is non-convex, the optimal problem is divided into two sub-issues, one is the user selection issue, and the other is the joint beamforming design and power allocation issue. A successive maximum iteration (SMI) algorithm is presented for the former issue, which can balance the performances between the sum-rate and complexity; and maximum minimization Lagrange multiplier (MMLM) iteration algorithm is utilized to solve the latter optimal issue. Moreover, we deduce the spectrum characteristic, bit error rate (BER) and ambiguity function (AF) for the proposed system. Simulation results show that our proposed system can provide appreciated sum-rate than the classical schemes, validating the efficiency of the proposed system.