{"title":"Performance of sinusoidally-distributed dithering for signed-error constant modulus algorithm","authors":"J. Jusak, Z. M. Hussain","doi":"10.1109/ICITA.2005.214","DOIUrl":null,"url":null,"abstract":"The complexity of the ubiquitous constant modulus algorithm (CMA) can be reduced by applying a sign operation to the CMA error function, while a sign operator generally can be seen as a 1-bit (two-level) mid-riser quantization. However, in order to preserve the information lost as a result of quantization processes, dithering is commonly used. In this paper, we evaluate the performance of dithered signed-error CMA utilizing a dithering signal that has sinusoidal probability density function. The algorithm has also been applied for equalization in wireless communication channel, which is distorted by multi-path propagation. Simulation results show that dithering using sinusoidal distribution outperforms the dithering using uniform distribution in terms of convergence speed.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The complexity of the ubiquitous constant modulus algorithm (CMA) can be reduced by applying a sign operation to the CMA error function, while a sign operator generally can be seen as a 1-bit (two-level) mid-riser quantization. However, in order to preserve the information lost as a result of quantization processes, dithering is commonly used. In this paper, we evaluate the performance of dithered signed-error CMA utilizing a dithering signal that has sinusoidal probability density function. The algorithm has also been applied for equalization in wireless communication channel, which is distorted by multi-path propagation. Simulation results show that dithering using sinusoidal distribution outperforms the dithering using uniform distribution in terms of convergence speed.