{"title":"基于toa的协同定位的基本性能限制","authors":"M. Nicoli, D. Fontanella","doi":"10.1109/ICCW.2009.5207988","DOIUrl":null,"url":null,"abstract":"Knowledge of node locations is desired in many types of wireless sensor network (WSN) technologies. Cooperative localization has been proved to provide self-calibration in the WSN even in presence of sparse reference nodes and noisy range estimates, as it relies on redundancy exploiting all the available inter-node measurements. In this paper we consider cooperative localization based on time-of-arrival (TOA) inter-node ranging. We analyze the Cramer-Rao bound on the positioning accuracy for one/two dimensional regular network topologies. The aim is to obtain some understanding of the behavior of localization accuracy for varying system settings, as a base for future evaluations of more realistic random network deployments.","PeriodicalId":271067,"journal":{"name":"2009 IEEE International Conference on Communications Workshops","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Fundamental Performance Limits of TOA-Based Cooperative Localization\",\"authors\":\"M. Nicoli, D. Fontanella\",\"doi\":\"10.1109/ICCW.2009.5207988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowledge of node locations is desired in many types of wireless sensor network (WSN) technologies. Cooperative localization has been proved to provide self-calibration in the WSN even in presence of sparse reference nodes and noisy range estimates, as it relies on redundancy exploiting all the available inter-node measurements. In this paper we consider cooperative localization based on time-of-arrival (TOA) inter-node ranging. We analyze the Cramer-Rao bound on the positioning accuracy for one/two dimensional regular network topologies. The aim is to obtain some understanding of the behavior of localization accuracy for varying system settings, as a base for future evaluations of more realistic random network deployments.\",\"PeriodicalId\":271067,\"journal\":{\"name\":\"2009 IEEE International Conference on Communications Workshops\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Communications Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCW.2009.5207988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Communications Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCW.2009.5207988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fundamental Performance Limits of TOA-Based Cooperative Localization
Knowledge of node locations is desired in many types of wireless sensor network (WSN) technologies. Cooperative localization has been proved to provide self-calibration in the WSN even in presence of sparse reference nodes and noisy range estimates, as it relies on redundancy exploiting all the available inter-node measurements. In this paper we consider cooperative localization based on time-of-arrival (TOA) inter-node ranging. We analyze the Cramer-Rao bound on the positioning accuracy for one/two dimensional regular network topologies. The aim is to obtain some understanding of the behavior of localization accuracy for varying system settings, as a base for future evaluations of more realistic random network deployments.