电讯技术2026，Vol.66Issue(9)：1472-1481,10.DOI:10.20079/j.issn.1001-893x.250228006
基于感知辅助的MIMO-OTFS信道估计
Radar-sensing-assisted MIMO-OTFS Channel Estimation
摘要
Abstract
To address the challenges of difficult downlink channel estimation and high pilot overhead resulting from the integration of multiple-input multiple-output(MIMO)technology and orthogonal time frequency space(OTFS),a radar-sensing-assisted three dimensional compressive sampling matching pursuit(R-TDCoSaMP)algorithm is proposed.In the first stage,the algorithm utilizes a radar sensing system to acquire user sensing information,which serves as the initial support set for the algorithm,thereby improving its accuracy.The second stage fully leverages the sparsity in the delay,Doppler,and angular dimensions to obtain the optimal support set across these three dimensions.Finally,the selected support sets are merged,and the linear minimum mean square error(LMMSE)algorithm is employed on the new support set to achieve accurate parameter estimation.Simulation experiments demonstrate that this method can significantly reduce the normalized mean square error(NMSE)of channel estimation at the same signal-to-noise ratio(SNR),decrease pilot overhead by more than 12.5%,and achieve a 3 dB gain at the same NMSE performance.关键词
通感一体化(ISAC)/多输入多输出(MIMO)/正交时频空(OTFS)/信道估计Key words
integrated sensing and communications(ISAC)/multiple-input multiple-output(MIMO)/orthogonal time frequency space(OTFS)/channel estimation分类
信息技术与安全科学引用本文复制引用
雷伊婷,骆忠强,王再强,吕超跞..基于感知辅助的MIMO-OTFS信道估计[J].电讯技术,2026,66(9):1472-1481,10.基金项目
国家自然科学基金资助项目(61801319) （61801319）
四川省自然科学基金面上项目(2026NSFSC0394) （2026NSFSC0394）
四川轻化工大学研究生教改项目(JG202405) （JG202405）
四川轻化工大学研究生创新基金项目(Y2024283) （Y2024283）
