Performance Trade-off and Joint Waveform Design for MIMO-OFDM DFRC Systems

2024-01-04

arXiv.org

AI Summary

This work addresses joint waveform design for MIMO-OFDM dual-functional radar-communication (DFRC) systems operating under frequency-selective multipath fading. The objective is to simultaneously optimize radar estimation accuracy—quantified by the Cramér–Rao bound (CRB)—communication inter-symbol interference (ISI), and achievable rate. We establish, for the first time in the MIMO-OFDM DFRC context, a systematic analytical framework characterizing the fundamental radar-communication performance trade-off. Two novel strategies are proposed: (i) a convex-optimization-based waveform design minimizing ISI, and (ii) a joint precoding and covariance matrix design maximizing achievable rate, integrating water-filling (WF) and sequential quadratic programming (SQP). Simulation results demonstrate that the rate-maximization strategy achieves high communication throughput while significantly improving radar estimation accuracy compared to conventional ISI-suppression methods, thereby validating the effectiveness and superiority of the proposed approach.

Technology Category

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

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

Dual-functional radar-communication (DFRC) has attracted considerable attention. This paper considers the frequency-selective multipath fading environment and proposes DFRC waveform design strategies based on multiple-input and multiple-output (MIMO) and orthogonal frequency division multiplexing (OFDM) techniques. In the proposed waveform design strategies, the Cramer-Rao bound (CRB) of the radar system, the inter-stream interference (ISI) and the achievable rate of the communication system, are respectively considered as the performance metrics. In this paper, we focus on the performance trade-off between the radar system and the communication system, and the optimization problems are formulated. In the ISI minimization based waveform design strategy, the optimization problem is convex and can be easily solved. In the achievable rate maximization based waveform design strategy, we propose a water-filling (WF) and sequential quadratic programming (SQP) based algorithm to derive the covariance matrix and the precoding matrix. Simulation results validate the proposed DFRC waveform designs and show that the achievable rate maximization based strategy has a better performance than the ISI minimization based strategy.

Problem

• Optimizing waveform design for MIMO-OFDM dual-function radar-communication systems
• Balancing performance trade-off between radar sensing and communication functions
• Minimizing interference while maximizing achievable data transmission rates

Innovation

• MIMO-OFDM waveform design for DFRC systems
• Cramer-Rao bound and achievable rate optimization
• Water-filling and SQP algorithm for covariance matrix