Radar Sensing via OTFS Signaling

作     者：Kecheng Zhang Zhongjie Li Weijie Yuan Yunlong Cai Feifei Gao Kecheng Zhang;Zhongjie Li;Weijie Yuan;Yunlong Cai;Feifei Gao

作者机构：Department of Electronic and Electrical EngineeringSouthern University of Science and TechnologyShenzhen 518055China College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China Department of AutomationTsinghua UniversityBeijing 100084China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2023年第20卷第9期

页      面：34-45页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

主　　题：OTFS radar sensing delay-Doppler(DD)domain fractional delay and Doppler 

摘      要：By multiplexing information symbols in the delay-Doppler(DD)domain,orthogonal time frequency space(OTFS)is a promising candidate for future wireless communication in high-mobility *** addition to the superior communication performance,OTFS is also a natural choice for radar sensing since the primary parameters(range and velocity of targets)in radar signal processing can be inferred directly from the delay and Doppler *** there are several works on OTFS radar sensing,most of them consider the integer parameter estimation only,while the delay and Doppler shifts are usually fractional in the real *** this paper,we propose a two-step method to estimate the fractional delay and Doppler *** first perform the two-dimensional(2D)correlation between the received and transmitted DD domain symbols to obtain the integer parts of the *** a difference-based method is implemented to estimate the fractional parts of delay and Doppler ***,we implement a target detection method based on a generalized likelihood ratio test since the number of potential targets in the sensing scenario is usually *** simulation results show that the proposed method can obtain the delay and Doppler shifts accurately and get the number of sensing targets with a high detection probability.