{"title":"发射功率随机时Ad Hoc网络和传感器网络的信号强度定位界限","authors":"Neal Patwari, A. Hero","doi":"10.1109/SAM.2006.1677207","DOIUrl":null,"url":null,"abstract":"Sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds","PeriodicalId":272327,"journal":{"name":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Signal Strength Localization Bounds in Ad Hoc and Sensor Networks when Transmit Powers are Random\",\"authors\":\"Neal Patwari, A. Hero\",\"doi\":\"10.1109/SAM.2006.1677207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds\",\"PeriodicalId\":272327,\"journal\":{\"name\":\"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAM.2006.1677207\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM.2006.1677207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal Strength Localization Bounds in Ad Hoc and Sensor Networks when Transmit Powers are Random
Sensor localization bounds have been derived assuming that received signal strength (RSS) measurements are performed with perfectly known sensor transmit powers. In this paper the Bayesian Cramer-Rao bound is derived assuming transmit powers are random with known prior distribution. Further, both directional measurements on each link, from i to j and from j to i, and their correlation, are explicitly considered. Results show that random transmit powers have a small (5-13%) impact on coordinate estimation bounds. However, using only the average of the directional measurements can significantly increase these bounds