资源占用约束下基于OFDM的ISAC系统波形设计
Waveform Design for OFDM-based ISAC Systems Under Resource Occupancy Constraint
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中文总结 AI 辅助
针对OFDM基ISAC系统闲置资源导致高旁瓣影响性能的问题，提出兼顾通信与资源占用约束的波形设计，通过最小化近距目标时延多普勒估计CRB并结合矩阵补全插值解决欠采样，性能优于现有方法。
中文摘要 AI 辅助
集成感知与通信（Integrated Sensing and Communication, ISAC）是6G无线系统设想中的核心支柱之一。ISAC系统通过单一波形融合通信与感知功能，实现资源完全共享。具体而言，传统正交频分复用（Orthogonal Frequency Division Multiplexing, OFDM）系统的波形设计需要制定合理的时频资源分配策略，以平衡通信与感知性能。在时间和/或频率维度上，资源闲置会导致模糊函数出现高旁瓣，严重影响基于OFDM波形的ISAC系统性能。本文提出一种考虑通信约束与资源占用约束的基于OFDM的ISAC波形设计方法，该方法最小化两个近距目标时延与多普勒估计的克拉美罗界（Cramér-Rao Bound, CRB）。此外，本文通过基于Schatten p范数近似的矩阵补全对估计的感知信道进行插值，解决了欠采样问题。数值结果表明，所提波形性能优于现有最优方法。
英文摘要
Integrated Sensing and Communication (ISAC) is one of the key pillars envisioned for 6G wireless systems. ISAC systems combine communication and sensing functionalities over a single waveform, with full resource sharing. In particular, waveform design for legacy Orthogonal Frequency Division Multiplexing (OFDM) systems consists of a suitable time-frequency resource allocation policy balancing between communication and sensing performance. Over time and/or frequency, having unused resources leads to an ambiguity function with high sidelobes that significantly affect the performance of ISAC for OFDM waveforms. This paper proposes an OFDM-based ISAC waveform design that takes into account communication and resource occupancy constraints. The proposed method minimizes the Cramér-Rao Bound (CRB) on delay and Doppler estimation for two closely spaced targets. Moreover, the paper addresses the under-sampling issue by interpolating the estimated sensing channel based on matrix completion via Schatten $p$-norm approximation. Numerical results show that the proposed waveform outperforms the state-of-the-art methods.
