{"title":"Iterative Phase-Based Frequency Estimation with Extended Threshold and Estimation Range at Moderate Complexity","authors":"I. Perisa, J. Lindner","doi":"10.1109/SPAWC.2006.346347","DOIUrl":null,"url":null,"abstract":"In previous works, many efficient phase-based estimators with small computational complexity have been proposed. Most of them suffer from a very high threshold - i.e. below a certain signal-to-noise ratio (SNR) the estimator variance increases rapidly. Most of the approaches that improve the threshold are quite complex or have a limited estimation range. In a previous paper it was shown that iterative frequency offset estimation schemes can achieve a low threshold at a moderate complexity. Here we show how they can be combined with different estimators to achieve a faster convergence rate. This enables the construction of estimators that can easily be adapted to different requirements concerning estimation range, performance, and complexity","PeriodicalId":414942,"journal":{"name":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2006.346347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In previous works, many efficient phase-based estimators with small computational complexity have been proposed. Most of them suffer from a very high threshold - i.e. below a certain signal-to-noise ratio (SNR) the estimator variance increases rapidly. Most of the approaches that improve the threshold are quite complex or have a limited estimation range. In a previous paper it was shown that iterative frequency offset estimation schemes can achieve a low threshold at a moderate complexity. Here we show how they can be combined with different estimators to achieve a faster convergence rate. This enables the construction of estimators that can easily be adapted to different requirements concerning estimation range, performance, and complexity