Qadri Mayyala, K. Abed-Meraim, A. Lawal, A. Zerguine
{"title":"基于半盲结构的SIMO系统估计","authors":"Qadri Mayyala, K. Abed-Meraim, A. Lawal, A. Zerguine","doi":"10.1109/ICCE55644.2022.9852095","DOIUrl":null,"url":null,"abstract":"This paper introduces a new semi-blind single in-put multiple output (SIMO) channel estimation algorithm. The algorithm exploits both the training-based samples and the received samples to estimate the channel state information. The structure-subspace blind method, which uses the inherent Toeplitz structure that exists in many systems, combined with the least squares approach are used. The proposed algorithm is tested via simulation and showed an improved performance.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semi-Blind Structure-Based SIMO System Estimation\",\"authors\":\"Qadri Mayyala, K. Abed-Meraim, A. Lawal, A. Zerguine\",\"doi\":\"10.1109/ICCE55644.2022.9852095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new semi-blind single in-put multiple output (SIMO) channel estimation algorithm. The algorithm exploits both the training-based samples and the received samples to estimate the channel state information. The structure-subspace blind method, which uses the inherent Toeplitz structure that exists in many systems, combined with the least squares approach are used. The proposed algorithm is tested via simulation and showed an improved performance.\",\"PeriodicalId\":388547,\"journal\":{\"name\":\"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE55644.2022.9852095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE55644.2022.9852095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper introduces a new semi-blind single in-put multiple output (SIMO) channel estimation algorithm. The algorithm exploits both the training-based samples and the received samples to estimate the channel state information. The structure-subspace blind method, which uses the inherent Toeplitz structure that exists in many systems, combined with the least squares approach are used. The proposed algorithm is tested via simulation and showed an improved performance.