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Computer Science > Information Theory

arXiv:2510.00668v1 (cs)
[Submitted on 1 Oct 2025 ]

Title: OTFS for Joint Radar and Communication: Algorithms, Prototypes, and Experiments

Title: OTFS用于联合雷达和通信:算法、原型和实验

Authors:Xiaojuan Zhang, Yonghong Zeng, Francois Chin Po Shin
Abstract: We propose an Joint Radar and Communication (JRC) system that utilizes the Orthogonal Time Frequency Space (OTFS) signals. The system features a fast radar sensing algorithm for detecting target range and speed by using the OTFS communication signals, and a self-interference cancellation for enhanced multi-target separation. In addition to target detection, we propose methods for monitoring human vital signs, such as breathing rate and heartbeat. Furthermore, we explore two approaches for distinguishing between human and nonhuman targets: one based on signal processing and the other based on machine learning. We have developed a prototype JRC system using the software-defined radio (SDR) technology. Experimental results are shown to demonstrate the effectiveness of the prototype in detecting range, speed, and vital signs in both human and mobile robot scenarios, as well as in distinguishing between human and non-human targets.
Abstract: 我们提出了一种联合雷达和通信(JRC)系统,该系统利用正交时频空(OTFS)信号。 该系统具有快速雷达感知算法,通过使用OTFS通信信号来检测目标距离和速度,并具有自干扰消除功能,以增强多目标分离。 除了目标检测外,我们还提出了监测人体生命体征的方法,如呼吸频率和心跳。 此外,我们探索了两种区分人类和非人类目标的方法:一种基于信号处理,另一种基于机器学习。 我们开发了一个使用软件定义无线电(SDR)技术的原型JRC系统。 实验结果展示了该原型在检测人类和移动机器人场景中的距离、速度和生命体征以及区分人类和非人类目标方面的有效性。
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2510.00668 [cs.IT]
  (or arXiv:2510.00668v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2510.00668
arXiv-issued DOI via DataCite

Submission history

From: Yonghong Zeng [view email]
[v1] Wed, 1 Oct 2025 08:53:51 UTC (1,160 KB)
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