{"title":"基于导频辅助的ZP-OTFS低复杂度迭代信道估计与检测","authors":"Qiang Guo;Hanyu Jiang;Jianhong Xiang;Yu Zhong","doi":"10.1109/LCOMM.2025.3542020","DOIUrl":null,"url":null,"abstract":"Orthogonal Time Frequency Space (OTFS) modulation offers a novel solution for high-mobility communication. However, iterative channel estimation and detection methods with high complexity limit the application of OTFS. In this letter, a pilot-assisted low complexity iterative channel estimation and detection approach is presented to tackle this challenge. First, we design a generalized compressed sensing-BEM (GCS-BEM) pilot insertion strategy to reduce inter-symbol interference (ISI) of data symbols and enhance the initial channel estimation performance. Second, a pilot-assisted alternative iterative channel estimation (PAAI-CE) method that combines local and global symbols to accelerate channel updates. Specifically, the pilot constrained confidence region (PCCR) is designed to facilitate the convergence of maximum ratio combining (MRC) detection. Simulation results demonstrate that the proposed approach achieves lower computational complexity while maintaining a satisfactory bit error rate (BER).","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"724-728"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low Complexity Iterative Channel Estimation and Detection Based on Pilot-Assisted for ZP-OTFS\",\"authors\":\"Qiang Guo;Hanyu Jiang;Jianhong Xiang;Yu Zhong\",\"doi\":\"10.1109/LCOMM.2025.3542020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Orthogonal Time Frequency Space (OTFS) modulation offers a novel solution for high-mobility communication. However, iterative channel estimation and detection methods with high complexity limit the application of OTFS. In this letter, a pilot-assisted low complexity iterative channel estimation and detection approach is presented to tackle this challenge. First, we design a generalized compressed sensing-BEM (GCS-BEM) pilot insertion strategy to reduce inter-symbol interference (ISI) of data symbols and enhance the initial channel estimation performance. Second, a pilot-assisted alternative iterative channel estimation (PAAI-CE) method that combines local and global symbols to accelerate channel updates. Specifically, the pilot constrained confidence region (PCCR) is designed to facilitate the convergence of maximum ratio combining (MRC) detection. Simulation results demonstrate that the proposed approach achieves lower computational complexity while maintaining a satisfactory bit error rate (BER).\",\"PeriodicalId\":13197,\"journal\":{\"name\":\"IEEE Communications Letters\",\"volume\":\"29 4\",\"pages\":\"724-728\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10887291/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10887291/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Low Complexity Iterative Channel Estimation and Detection Based on Pilot-Assisted for ZP-OTFS
Orthogonal Time Frequency Space (OTFS) modulation offers a novel solution for high-mobility communication. However, iterative channel estimation and detection methods with high complexity limit the application of OTFS. In this letter, a pilot-assisted low complexity iterative channel estimation and detection approach is presented to tackle this challenge. First, we design a generalized compressed sensing-BEM (GCS-BEM) pilot insertion strategy to reduce inter-symbol interference (ISI) of data symbols and enhance the initial channel estimation performance. Second, a pilot-assisted alternative iterative channel estimation (PAAI-CE) method that combines local and global symbols to accelerate channel updates. Specifically, the pilot constrained confidence region (PCCR) is designed to facilitate the convergence of maximum ratio combining (MRC) detection. Simulation results demonstrate that the proposed approach achieves lower computational complexity while maintaining a satisfactory bit error rate (BER).
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.