用于 OTFS 和 FTN 融合的综合传感与通信波形设计

IF 3.2 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Signal Processing Letters Pub Date : 2024-10-09 DOI:10.1109/LSP.2024.3478112

Xiaolong Yang;Bingrui Zhang;Mu Zhou;Ming Gao

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引用次数: 0

摘要

在这封信中，我们提出了一种基于正交时频空间（OTFS）和快速奈奎斯特（FTN）融合的综合传感与通信（ISAC）波形设计方法。其目标是最大限度地提高通信数据传输速率，同时将传感性能对目标参数估计的影响降至最低。我们首先将 FTN 符号映射到 OTFS 波形时域，以实现符号间距压缩，并在时变信道中传输。然后，使用基于最小均方误差（MMSE）算法的均衡器来消除 FTN 产生的干扰。仿真结果表明，考虑到系统误码率，与现有方法相比，建议的方法不仅提高了吞吐量，还改进了目标的距离和速度估计。

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Integrated Sensing and Communications Waveform Design for OTFS and FTN Fusion

In this letter, we propose an Integrated Sensing and Communications (ISAC) waveform design method based on the fusion of Orthogonal Time Frequency Space (OTFS) and Faster-Than-Nyquist (FTN). The objective is to maximize the communication data transmission rate while minimizing the sensing performance impact on the target parameter estimation. We first map the FTN symbols to OTFS waveform time domain for realizing symbol spacing compression and transmit them in time-varying channels. Then, an equalizer based on the Minimum Mean Square Error (MMSE) algorithm is used to eliminate the interference generated by the FTN. Simulation results show taking into account the system bit-error rate, the proposed method achieves an increase in the throughput as well as an improvement in the distance and velocity estimation of the target compared to the existing methods.

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来源期刊

IEEE Signal Processing Letters 工程技术-工程：电子与电气

CiteScore

7.40

自引率

12.80%

发文量

339

审稿时长

2.8 months

期刊介绍： The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.