MIMO-OFDM ISAC系统的低距离旁瓣波形设计
Low-Range-Sidelobe Waveform Design for MIMO-OFDM ISAC Systems
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中文总结 AI 辅助
本文针对MIMO-OFDM ISAC系统提出一种基于符号级预编的低距离旁瓣波形设计方法，通过最小化积分旁瓣电平并满足通信QoS与功率约束，利用MM算法求解非凸问题，有效提升了雷达测距性能。
中文摘要 AI 辅助
集成感知与通信（ISAC）因其高效的硬件和频谱利用率，成为未来无线系统中极具前景的技术。本文考虑多输入多输出（MIMO）正交频分复用（OFDM）ISAC系统，提出一种新颖的波形设计，通过考虑距离旁瓣抑制来提供更好的雷达测距性能。具体而言，我们旨在设计MIMO-OFDM双功能波形，以最小化其积分旁瓣电平（ISL），同时满足多用户通信的服务质量（QoS）要求和发射功率约束。为实现更低的ISL，采用符号级预编码（SLP）技术，以充分利用波形设计在时域和空域的自由度（DoFs）。开发了一种利用极大极小化（MM）框架的高效算法来求解该非凸波形设计问题。仿真结果揭示了雷达测距性能的提升，并证明了所提出的基于SLP的低距离旁瓣波形设计在ISAC系统中的优势。
英文摘要
Integrated sensing and communication (ISAC) is a promising technology in future wireless systems owing to its efficient hardware and spectrum utilization. In this paper, we consider a multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) ISAC system and propose a novel waveform design to provide better radar ranging performance by taking range sidelobe suppression into consideration. In specific, we aim to design MIMO-OFDM dual-function waveform to minimize its integrated sidelobe level (ISL) while satisfying the quality of service (QoS) requirements of multi-user communications and the transmit power constraint. To achieve a lower ISL, the symbol-level precoding (SLP) technique is employed to fully exploit the degrees of freedom (DoFs) of the waveform design in both temporal and spatial domains. An efficient algorithm utilizing majorization-minimization (MM) framework is developed to solve the non-convex waveform design problem. Simulation results reveal radar ranging performance improvement and demonstrate the benefits of the proposed SLP-based low-range-sidelobe waveform design in ISAC systems.
