{"title":"Time delay estimation of co-frequency signals in TDOA localization based on WSN","authors":"Pengwu Wan, Zan Li, B. Hao","doi":"10.1109/CITS.2016.7546399","DOIUrl":null,"url":null,"abstract":"The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time-delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations of differently delayed versions of communication signal and interference signal. Two methods of Blind Source Separation (BSS) and Secondary Interference Signal Extracting (SISE) are introduced in the proposed method. The interference signals in the mixed receiving signals of all sensors are extracted effectively and the affection of the mixed communication signals can be significantly reduced. Simulations results demonstrate that the proposed method has a more accurate performance compared to some other time delay estimation methods.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITS.2016.7546399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The time delay estimation of the TDOA is signification in passive source localization systems, and the estimation accuracy may directly affect the source location performance. We address the problem of passive blind estimation of time-delay for uncorrelated co-frequency interference source signal based on wireless sensor network (WSN). The received mixtures are modeled as unknown linear combinations of differently delayed versions of communication signal and interference signal. Two methods of Blind Source Separation (BSS) and Secondary Interference Signal Extracting (SISE) are introduced in the proposed method. The interference signals in the mixed receiving signals of all sensors are extracted effectively and the affection of the mixed communication signals can be significantly reduced. Simulations results demonstrate that the proposed method has a more accurate performance compared to some other time delay estimation methods.