AWGN信道中HiperLAN/2收发信噪比的BPSK估计算法

The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005. Pub Date : 2005-07-11 DOI:10.1109/ICACT.2005.245824

D. Athanasios, K. Grigorios

{"title":"AWGN信道中HiperLAN/2收发信噪比的BPSK估计算法","authors":"D. Athanasios, K. Grigorios","doi":"10.1109/ICACT.2005.245824","DOIUrl":null,"url":null,"abstract":"Signal-to-noise ratio (SNR) is a crucial parameter in receiving systems to improve their performance. In this paper, two SNR estimators, the squared signal-to-noise variance estimator and the iterative SNR estimator, originally proposed for single carrier systems, are properly modified and applied to an OFDM transceiver complying with the physical layer of HiperLAN/2. We compare their performance in additive white Gaussian noise (AWGN) channel. Simulations showed that for both algorithms SNR estimation accuracy can be accomplished in low SNR values. The impact of the channel estimation method used to improve signal's reception, on the SNR estimation accuracy is examined. Finally the number of iterations that is needed for the second algorithm to converge to the actual SNR is estimated from simulations","PeriodicalId":293442,"journal":{"name":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"BPSK SNR estimation algorithms for HiperLAN/2 transceiver in AWGN channel\",\"authors\":\"D. Athanasios, K. Grigorios\",\"doi\":\"10.1109/ICACT.2005.245824\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Signal-to-noise ratio (SNR) is a crucial parameter in receiving systems to improve their performance. In this paper, two SNR estimators, the squared signal-to-noise variance estimator and the iterative SNR estimator, originally proposed for single carrier systems, are properly modified and applied to an OFDM transceiver complying with the physical layer of HiperLAN/2. We compare their performance in additive white Gaussian noise (AWGN) channel. Simulations showed that for both algorithms SNR estimation accuracy can be accomplished in low SNR values. The impact of the channel estimation method used to improve signal's reception, on the SNR estimation accuracy is examined. Finally the number of iterations that is needed for the second algorithm to converge to the actual SNR is estimated from simulations\",\"PeriodicalId\":293442,\"journal\":{\"name\":\"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACT.2005.245824\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACT.2005.245824","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

信噪比是提高接收系统性能的一个重要参数。本文对最初针对单载波系统提出的两种信噪比估计器——信噪方差平方估计器和迭代信噪比估计器进行了适当的改进，并应用于符合HiperLAN/2物理层的OFDM收发器。比较了它们在加性高斯白噪声(AWGN)信道中的性能。仿真结果表明，两种算法均能在低信噪比条件下实现信噪比估计精度。研究了用于改善信号接收的信道估计方法对信噪比估计精度的影响。最后通过仿真估计了第二种算法收敛到实际信噪比所需的迭代次数

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

BPSK SNR estimation algorithms for HiperLAN/2 transceiver in AWGN channel

Signal-to-noise ratio (SNR) is a crucial parameter in receiving systems to improve their performance. In this paper, two SNR estimators, the squared signal-to-noise variance estimator and the iterative SNR estimator, originally proposed for single carrier systems, are properly modified and applied to an OFDM transceiver complying with the physical layer of HiperLAN/2. We compare their performance in additive white Gaussian noise (AWGN) channel. Simulations showed that for both algorithms SNR estimation accuracy can be accomplished in low SNR values. The impact of the channel estimation method used to improve signal's reception, on the SNR estimation accuracy is examined. Finally the number of iterations that is needed for the second algorithm to converge to the actual SNR is estimated from simulations

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.

自引率

0.00%

发文量