{"title":"一种基于参数通道模型的RSS定位方法","authors":"P. Tarrío, A. Bernardos, J. Casar","doi":"10.1109/SENSORCOMM.2007.26","DOIUrl":null,"url":null,"abstract":"In this paper a new localization method based on parametric channel models is presented. In order to reduce localization errors when working with real data, we also propose to calculate the median value of several received signal strength measurements prior to the application of the localization method. The performance of the method is shown through both numerical simulations and some tests with real data from a wireless sensor network.","PeriodicalId":161788,"journal":{"name":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"An RSS Localization Method Based on Parametric Channel Models\",\"authors\":\"P. Tarrío, A. Bernardos, J. Casar\",\"doi\":\"10.1109/SENSORCOMM.2007.26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a new localization method based on parametric channel models is presented. In order to reduce localization errors when working with real data, we also propose to calculate the median value of several received signal strength measurements prior to the application of the localization method. The performance of the method is shown through both numerical simulations and some tests with real data from a wireless sensor network.\",\"PeriodicalId\":161788,\"journal\":{\"name\":\"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SENSORCOMM.2007.26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORCOMM.2007.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An RSS Localization Method Based on Parametric Channel Models
In this paper a new localization method based on parametric channel models is presented. In order to reduce localization errors when working with real data, we also propose to calculate the median value of several received signal strength measurements prior to the application of the localization method. The performance of the method is shown through both numerical simulations and some tests with real data from a wireless sensor network.