{"title":"OFDM系统的低复杂度信噪比估计算法和信道估计方法","authors":"Pei-kun He, Zhixin Li, Xuan Wang","doi":"10.1109/ICIST.2014.6920573","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in the doubly selective channels by inserting special preambles. The noise variance is estimated by one preamble symbol in time domain. Besides, the estimated noise variance can be utilized as initial noise power for iterative linear minimum mean square error (LMMSE) channel estimation. Simulation results show that this new algorithm is insensitive to the Doppler frequency and is robust in large Doppler frequency environments, and has a lower computational complexity than other methods.","PeriodicalId":306383,"journal":{"name":"2014 4th IEEE International Conference on Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems\",\"authors\":\"Pei-kun He, Zhixin Li, Xuan Wang\",\"doi\":\"10.1109/ICIST.2014.6920573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a novel signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in the doubly selective channels by inserting special preambles. The noise variance is estimated by one preamble symbol in time domain. Besides, the estimated noise variance can be utilized as initial noise power for iterative linear minimum mean square error (LMMSE) channel estimation. Simulation results show that this new algorithm is insensitive to the Doppler frequency and is robust in large Doppler frequency environments, and has a lower computational complexity than other methods.\",\"PeriodicalId\":306383,\"journal\":{\"name\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 4th IEEE International Conference on Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST.2014.6920573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th IEEE International Conference on Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2014.6920573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A low-complexity SNR estimation algorithm and channel estimation method for OFDM systems
This paper proposes a novel signal-to-noise ratio (SNR) estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems in the doubly selective channels by inserting special preambles. The noise variance is estimated by one preamble symbol in time domain. Besides, the estimated noise variance can be utilized as initial noise power for iterative linear minimum mean square error (LMMSE) channel estimation. Simulation results show that this new algorithm is insensitive to the Doppler frequency and is robust in large Doppler frequency environments, and has a lower computational complexity than other methods.
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