{"title":"An Improved LSL Interpolator to Suppress Narrow-Band Interference forDirect-Sequence Spread-Spectrum Systems","authors":"Zhiguo Sun, Lili Guo","doi":"10.1109/CHINACOM.2006.344717","DOIUrl":null,"url":null,"abstract":"An improved interpolator based on QR-decomposition is proposed to suppress narrow-band interference (NBI) in direct-sequence spread-spectrum (DS/SS) systems. This interpolator is based on the discrepancy in the predictability between NBI and the spread spectrum signal (SS), and then uses a linear interpolation of the received signal to estimate NBI. Because of QR-decomposition operation instead of inverting the correlation matrix and a novel variable with a small dynamic range, the performances of QRD-LSL interpolators outperform ones of LSL predictors and LSL interpolators. It was shown that the QRD-LSL interpolators can obtain more 4 dB processing gain than LSL predictors and LSL predictors, and its total computational complexity scales linearly with the interpolation order.","PeriodicalId":408368,"journal":{"name":"2006 First International Conference on Communications and Networking in China","volume":"179 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 First International Conference on Communications and Networking in China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHINACOM.2006.344717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
An improved interpolator based on QR-decomposition is proposed to suppress narrow-band interference (NBI) in direct-sequence spread-spectrum (DS/SS) systems. This interpolator is based on the discrepancy in the predictability between NBI and the spread spectrum signal (SS), and then uses a linear interpolation of the received signal to estimate NBI. Because of QR-decomposition operation instead of inverting the correlation matrix and a novel variable with a small dynamic range, the performances of QRD-LSL interpolators outperform ones of LSL predictors and LSL interpolators. It was shown that the QRD-LSL interpolators can obtain more 4 dB processing gain than LSL predictors and LSL predictors, and its total computational complexity scales linearly with the interpolation order.