Sensing Assisted Communication System Design Based on OTFS Waveforms

Weihao Wang, Zesong Fei, Siqiang Wang, Dongkai Zhou, Jing Guo*, Zhong Zheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this letter, we investigate a sensing assisted communication system employing the Orthogonal Time Frequency Space (OTFS) waveforms. We first develop a channel sensing algorithm to estimate the channel coefficients in the delay-Doppler domain based on the multiple signal classification algorithm. Specifically, by searching over the three-dimensional spectrum, including the angle, delay, and Doppler shift information, the channel information can be obtained directly by exploiting the similar structure of the OTFS communication and sensing channels. After obtaining the channel information, the communication symbols are detected by the proposed Turbo-based multi-antenna probability combining-successive interference cancellation algorithm. Our results show that the sensing performance of the channel matrix can approach the performance of the maximum likelihood algorithm as the signal-to-noise ratio increases, while the computation complexity of our proposed algorithm is much lower. Besides, the bit error rate performance is better than the minimum mean squared error detection algorithm in the multi-user scenario.

Original languageEnglish
Pages (from-to)1896-1900
Number of pages5
JournalIEEE Wireless Communications Letters
Volume12
Issue number11
DOIs
Publication statusPublished - 1 Nov 2023

Keywords

  • OTFS
  • channel estimation
  • sensing assisted communication
  • symbol detection

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