{"title":"BER modeling for interference canceling FIR Wiener equalizer","authors":"Tamoghna Roy, L. Beex","doi":"10.1109/ICCNC.2013.6504095","DOIUrl":null,"url":null,"abstract":"The performance of a narrowband interference canceling FIR Wiener equalizer is analyzed. While mean squared error (MSE) relates to bit error rate (BER), their connection is not necessarily a direct one when the detector output noise is not Gaussian. We show that BER can be increasing for increasing signal power (or decreasing noise power) even though MSE is decreasing. A Gaussian BER model may not be accurate then. For digital modulation schemes using FIR Wiener equalizers in a narrowband interference dominated environment, a Gaussian sum model is derived for the Wiener filter output. The analytical evaluation of the probability of bit error based on the Gaussian sum model produces a BER prediction that is shown to provide a close match with observed/estimated BER, in particular for lower order equalizers.","PeriodicalId":229123,"journal":{"name":"2013 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNC.2013.6504095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The performance of a narrowband interference canceling FIR Wiener equalizer is analyzed. While mean squared error (MSE) relates to bit error rate (BER), their connection is not necessarily a direct one when the detector output noise is not Gaussian. We show that BER can be increasing for increasing signal power (or decreasing noise power) even though MSE is decreasing. A Gaussian BER model may not be accurate then. For digital modulation schemes using FIR Wiener equalizers in a narrowband interference dominated environment, a Gaussian sum model is derived for the Wiener filter output. The analytical evaluation of the probability of bit error based on the Gaussian sum model produces a BER prediction that is shown to provide a close match with observed/estimated BER, in particular for lower order equalizers.