| 摘要: |
| 针对多输入多输出（Multiple-Input Multiple-Output，MIMO）技术和 |
| 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 |
| DOI：10.20079/j.issn.1001-893x.250228006 |
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| 基金项目:国家自然科学基金资助项目（61801319）；四川省自然科学基金面上项目（2026NSFSC0394）；四川轻化工大学研究生教改项目(JG202405)；四川轻化工大学研究生创新基金项目（Y2024283） |
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| Radar-sensing-assisted MIMO-OTFS Channel Estimation |
| LEI Yitinga,LUO Zhongqianga,b,WANG Zaiqianga,LYU Chaoluoa |
| (a.School of Automation and Information Engineering;b.Intelligent Perception and Control Key Laboratory of Sichuan Province，Sichuan University of Science and Engineering，Yibin 644000，China) |
| 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. |
| Key words: integrated sensing and communications（ISAC） multiple-input multiple-output(MIMO) orthogonal time frequency space(OTFS) channel estimation |
《电讯技术》编辑部 