Timing synchronization based on Radon-Wigner transform of chirp signals for OTFS systems?

被引:2
|
作者
Geng, Xue [1 ,2 ,3 ]
Chen, Zhuo [1 ,2 ,3 ]
Yang, Haixiao [1 ,2 ,3 ]
Liu, Zhiyang [1 ,2 ,3 ]
Wu, Hong [1 ,2 ,3 ,4 ]
机构
[1] Nankai Univ, Coll Elect Informat & Opt Engn, Tianjin 300350, Peoples R China
[2] Tianjin Key Lab Optoelect Sensor, Tianjin 300350, Peoples R China
[3] Sensing Network Technol, Tianjin 300350, Peoples R China
[4] Minist Educ, Engn Res Ctr Thin Film Optoelect Technol, Tianjin 300350, Peoples R China
基金
中国国家自然科学基金;
关键词
OTFS; Timing synchronization; Radon-Wigner Transform; Dual-chirp; Superimposed training sequence; OFDM SYSTEMS; FREQUENCY SYNCHRONIZATION; FRAME SYNCHRONIZATION; CHANNEL ESTIMATION; TIME; ROBUST; DESIGN; OFFSET;
D O I
10.1016/j.phycom.2023.102161
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Accurate timing synchronization is fundamental for the orthogonal time frequency space (OTFS) system to work properly, but the severe Doppler effect makes it a challenging task in high-mobility environments and high carrier frequency systems. To tackle this challenge, we propose a timing synchronization algorithm based on the Radon-Wigner transform (RWT) of chirp signals for OTFS modulation systems in high-mobility environments, which makes full use of the anti-Doppler performance of chirp signals and the energy aggregation characteristics of RWT to achieve accurate timing synchronization in high-Doppler conditions. Firstly, a training sequence consisting of a dual-chirp signal is transformed from the time domain to the delay-Doppler domain and then superimposed on the user data at the transmitter side. Subsequently, the timing synchronization of the OTFS system is implemented by detecting the peak value of the chirp signal after RWT and computing the difference in peak position between the transmitted and received chirp signals. Simulation results demonstrate that the proposed scheme offers a superior performance gain in low signal-to-noise ratio and high-Doppler conditions.& COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
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