电讯技术2025，Vol.65Issue(2)：214-222,9.DOI:10.20079/j.issn.1001-893x.241007001
星地通信中基于压缩感知的OTFS信道估计
Channel Estimation of OTFS Based on Compressive Sensing in Satellite-Ground Communication
邵凯 1聂芝荣2
作者信息
- 1. 重庆邮电大学 通信与信息工程学院,重庆 400065||移动通信技术重庆市重点实验室,重庆 400065
- 2. 重庆邮电大学 通信与信息工程学院,重庆 400065
- 折叠
摘要
Abstract
In view of the high dynamic channel characteristics of low Earth orbit(LEO)satellite-ground communication,a two-phase channel estimation method based on orthogonal time frequency space(OTFS)modulation is proposed.The proposed method achieves precise estimation of three parameters:delay,Doppler frequency shift,and channel gain with low pilot cost and high accuracy.The Two-phase Channel State Information Estimation(TP-CSIE)scheme adopts a time domain training sequence(TD-TS)as the pilot structure to solve the excessive pilot overhead problem of embedded pilot scheme in the delay-Doppler(DD)domain for the high dynamic satellite ground links.Due to the inherent sparsity of DD domain channels,the OTFS channel estimation problem is transformed into the recovery problem of sparse signals.In the first stage of the algorithm,the sparse signal recovery algorithm is chosen for the initial estimation of the channel parameters,and the overlapping addition(OLA)method is designed to obtain partial prior information for improving the accuracy of the compressive sampling matching pursuit(CoSAMP)algorithm.In the second stage of the algorithm,the enhanced rotationally invariant subspace algorithm is designed to realize the accurate estimation of channel parameters.The simulation results show that,the proposed algorithm has a normalized mean square error(NMSE)performance improvement of about 7 dB and a bit error rate(BER)performance improvement of about 10 dB,compared with existing schemes.关键词
低轨卫星/星地通信/正交时频空(OTFS)/信道估计/压缩感知Key words
low Earth orbit satellite/satellite-ground communication/orthogonal time frequency space(OTFS)/channel estimation/compressive sensing分类
电子信息工程引用本文复制引用
邵凯,聂芝荣..星地通信中基于压缩感知的OTFS信道估计[J].电讯技术,2025,65(2):214-222,9.
