On Range Sidelobe Reduction for Dual-functional Radar-Communication Waveforms

TL;DR

This paper introduces a new waveform design for MIMO dual-functional radar-communication systems that optimizes range sidelobe control and balances communication and radar performance, using a low-complexity algorithm.

Contribution

It proposes a novel non-convex optimization approach exploiting manifold structure to improve waveform design for dual-functional systems.

Findings

Outperforms conventional techniques in communication rate.

Reduces range sidelobe levels effectively.

Maintains low computational complexity.

Abstract

In this paper, we propose a novel waveform design for multi-input multi-output (MIMO) dual-functional radar-communication systems by taking the range sidelobe control into consideration. In particular, we focus on optimizing the weighted summation of communication and radar metrics under per-antenna power budget. While the formulated optimization problem is non-convex, we develop a first-order descent algorithm by exploiting the manifold structure of its feasible region, which finds a near-optimal solution within a low computational overhead. Numerical results show that the proposed waveform design outperforms the conventional techniques by improving the communication rate while reducing the range sidelobe level.