Joint Transmit Waveform and Receive Filter Design for ISAC System With Jamming

2025-04-11

IEEE Transactions on Vehicular Technology

AI Summary

To address the dual challenge of multi-user interference (MUI) suppression and joint communication-radar performance optimization in integrated sensing and communication (ISAC) systems under complex electromagnetic environments, this paper proposes a unified framework for co-designing transmit waveforms and receive filters (matched or mismatched). For the first time in ISAC, we jointly formulate constraints on mainlobe shape, peak sidelobe level (PSL), transmit power budget, and MUI minimization. Leveraging the alternating direction method of multipliers (ADMM), we develop an iterative waveform-filter co-optimization algorithm. The proposed method achieves significant MUI reduction in communications while enhancing radar target detection accuracy and parameter estimation performance—including target count, range, and angle estimation. Comprehensive evaluations demonstrate consistent superiority over state-of-the-art baseline methods across all metrics. This work establishes a practical, implementable paradigm for interference-resilient ISAC through joint waveform and receiver filter design.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Constraint Satisfaction and Optimization: Mixed Discrete/Continuous Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search
• Security and Privacy: Security and privacy of machine learning and AI applications

Abstract

In this paper, to suppress jamming in the complex electromagnetic environment, we propose a joint transmit waveform and receive filter design framework for integrated sensing and communications (ISAC). By jointly optimizing the transmit waveform and receive filters, we aim at minimizing the multiuser interference (MUI), subject to the constraints of the target mainlobe, jamming mainlobe and peak sidelobe level of the receive filter output as well as the transmit power of the ISAC base station. We propose two schemes to solve the problem, including joint transmit waveform and matched filter design (JTMD) and joint transmit waveform and mismatched filter design (JTMMD) schemes. For both schemes, we adopt the alternating direction method of multipliers to iteratively optimize the transmit waveform and receive filters, where the number of targets as well as the range and angles of each target can also be estimated. Simulation results show that both the JTMD and JTMMD schemes achieve superior performance in terms of communication MUI and radar detection performance.

Problem

• Suppress jamming in ISAC systems
• Minimize multiuser interference (MUI)
• Optimize transmit waveform and receive filters

Innovation

• Joint waveform and filter design for ISAC
• Alternating optimization for interference reduction
• JTMD and JTMMD schemes for jamming suppression