{"title":"基于峰值检测的超宽带定位估计","authors":"Hong Ding, Linhua Zheng, L. Xiang","doi":"10.1109/ISDEA.2012.510","DOIUrl":null,"url":null,"abstract":"In this paper the continuous and discrete ML criteria used in UWB localization will be discussed. Two ToA estimation methods using ML criteria basing on peak-detection will be studied deeply. In search and subtract algorithm, according to the ML criteria, we adjust the observation parameter which is used to calculate the amplitude estimation. We also propose a quick searching method and two corresponding stopping criteria for this algorithm. A cluster-peak-detection-based algorithm will be shown in the paper. We also will discuss its stopping criteria problem.","PeriodicalId":267532,"journal":{"name":"2012 Second International Conference on Intelligent System Design and Engineering Application","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"To an Estimation for UWB Localization Basing on Peak-Detection\",\"authors\":\"Hong Ding, Linhua Zheng, L. Xiang\",\"doi\":\"10.1109/ISDEA.2012.510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the continuous and discrete ML criteria used in UWB localization will be discussed. Two ToA estimation methods using ML criteria basing on peak-detection will be studied deeply. In search and subtract algorithm, according to the ML criteria, we adjust the observation parameter which is used to calculate the amplitude estimation. We also propose a quick searching method and two corresponding stopping criteria for this algorithm. A cluster-peak-detection-based algorithm will be shown in the paper. We also will discuss its stopping criteria problem.\",\"PeriodicalId\":267532,\"journal\":{\"name\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDEA.2012.510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Intelligent System Design and Engineering Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDEA.2012.510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To an Estimation for UWB Localization Basing on Peak-Detection
In this paper the continuous and discrete ML criteria used in UWB localization will be discussed. Two ToA estimation methods using ML criteria basing on peak-detection will be studied deeply. In search and subtract algorithm, according to the ML criteria, we adjust the observation parameter which is used to calculate the amplitude estimation. We also propose a quick searching method and two corresponding stopping criteria for this algorithm. A cluster-peak-detection-based algorithm will be shown in the paper. We also will discuss its stopping criteria problem.
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