Waveform Design for ISAC System: A Consensus ADMM Approach

TL;DR

This paper proposes a consensus ADMM-based algorithm for joint waveform and filter design in ISAC systems, balancing communication and sensing performance under practical constraints.

Contribution

It introduces a novel consensus ADMM framework to efficiently optimize joint transmit waveform and receive filter in multi-user ISAC systems with non-convex constraints.

Findings

Achieves better trade-offs between communication rate and sensing SINR.

Ensures fast convergence of the optimization algorithm.

Effectively handles non-convex fractional SINR formulation.

Abstract

We study joint transmit-waveform and receive-filter design for a multi-user downlink integrated sensing and communication (ISAC) system under practical constant-modulus and similarity constraints. We cast the design as a unified multi-objective program that balances communication sum rate and sensing signal-to-interference-plus-noise ratio (SINR). To address this, we introduce an efficient algorithm that use consensus alternating direction method of multipliers (ADMM) framework to alternately update the transmit waveform and radar filter. The proposed method effectively handles the non-convex fractional sensing's SINR formulation and ensures fast convergence. Simulation results demonstrate that the proposed approach achieves better trade-offs between communication sum rate and sensing's SINR compared to existing benchmark schemes.