Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation
Author:
Zhang Ji123ORCID, Cai Leqi4, Liu Huanyou1
Affiliation:
1. China Airborne Missile Academy, Luoyang 471009, China 2. Intelligent System Science and Technology Innovation Center, Longmen Laboratory, Luoyang 471009, China 3. School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, China 4. Department of Electronics and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Abstract
For the orthogonal time frequency space (OTFS) modulation, we generally multiplex symbols on a new type of carrier waveform in the delay-Doppler (DD) domain. These two parameters can be used to infer the range (R) and velocity (V) of the communication user and sensing target; thus, it is natural for the OTFS to be implemented in integrated sensing and communication (ISAC). A framework for ISAC based on OTFS modulation is proposed in this paper, in which the matched filter scheme with fractional parameter estimation is implemented for radar sensing. In addition, the hybrid message passing (MP) detection algorithm is developed for OTFS symbol demodulation. According to the simulation results, fractional DD shifts associated with multiple targets can be accurately obtained through the proposed framework. Meanwhile, the bit error rate under the proposed detector is less than 10−4 when the signal-to-noise ratio is high enough.
Funder
Key Science and Technology Project of Henan Province of China Key Scientific Research Project in Colleges and Universities of Henan Province of China Major Science and Technology Projects of Longmen Laboratory
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference71 articles.
1. Cui, Y., Nie, J., Yu, T., Zou, J., Yuan, W., Jing, Z., Mu, J., and Jing, X. (2023, January 6). Sensing-Assisted Communication Beamforming Based on Multi-Modal Feature Extraction for High-Reliable IoV. Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems, Madrid, Spain. 2. Digital Twin-enabled Federated Learning in Mobile Networks: From the Perspective of Communication-assisted Sensing;Mu;IEEE J. Sel. Areas Commun.,2023 3. Liu, F., Masouros, C., and Eldar, Y.C. (2023). Integrated Sensing and Communications, Springer Nature. 4. Wu, J., Yuan, W., Liu, F., Cui, Y., Meng, X., and Huang, H. (2022, January 11–13). UAV-based target tracking: Integrating sensing into communication signals. Proceedings of the 2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Sanshui, China. 5. Zhou, D., Guo, J., Wang, S., Zheng, Z., Fei, Z., Yuan, W., and Wang, X. (2023). OTFS-based Robust MMSE Precoding Design in Over-the-air Computation. arXiv.
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