SNR estimation algorithm based on the preamble for wireless OFDM systems  

作　　者：REN GuangLiang CHANG YiLin ZHANG HuiNing 

机构地区：[1]State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China

出　　处：《Science in China(Series F)》2008年第7期965-974,共10页中国科学（F辑英文版）

基　　金：the National Natural Science Foundation of China (Grant Nos.60602063, 60532060 and 60772134);the Natural Science Foundation of Shaanxi Province (Grant No.2006F28)

摘　　要：Based on the analysis of the performance of Boumard＇s SNR method for wireless orthogonal frequency division multiplexing （OFDM） systems, a new estimation algorithm of the noise variance is proposed by only using the data samples of the two training symbols in the preamble, and the second order moment of these data samples is employed to estimate the signal power. The average SNR and the SNRs on the subchannels can all be estimated by the proposed algorithm, and its performance is independent of the channel＇s frequency selectivity. Simulation results show that the performance of the proposed method is highly improved and much better than that of Boumard＇s method.Based on the analysis of the performance of Boumard＇s SNR method for wireless orthogonal frequency division multiplexing （OFDM） systems, a new estimation algorithm of the noise variance is proposed by only using the data samples of the two training symbols in the preamble, and the second order moment of these data samples is employed to estimate the signal power. The average SNR and the SNRs on the subchannels can all be estimated by the proposed algorithm, and its performance is independent of the channel＇s frequency selectivity. Simulation results show that the performance of the proposed method is highly improved and much better than that of Boumard＇s method.

关 键 词：orthogonal frequency division multiplexing （OFDM） SNR estimation PREAMBLE wireless channel 

分 类 号：TN91[电子电信—通信与信息系统]