{"title":"超宽带雷达节点无线传感器网络中功率感知分布式目标检测","authors":"D. Bielefeld, R. Mathar, O. Hirsch, R. Thomä","doi":"10.1109/RADAR.2010.5494504","DOIUrl":null,"url":null,"abstract":"Distributed detection of targets is one of the major applications of wireless sensor networks. Many existing results on distributed detection are either derived from analytical models or are based on simulations. In this paper, the performance of a distributed target detection system is evaluated by real measurement data obtained by UWB-radar-based sensor nodes. After local processing of the radar signal, the sensor nodes transmit their local decisions about the absence or presence of the target to a fusion center. For this purpose, a power-aware algorithm for resource allocation, which is tailored for UWB communication links is discussed. The feasibility and the effectiveness of this algorithm is evaluated by a hybrid approach based on the measurement data and simulations.","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Power-aware distributed target detection in wireless sensor networks with UWB-radar nodes\",\"authors\":\"D. Bielefeld, R. Mathar, O. Hirsch, R. Thomä\",\"doi\":\"10.1109/RADAR.2010.5494504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed detection of targets is one of the major applications of wireless sensor networks. Many existing results on distributed detection are either derived from analytical models or are based on simulations. In this paper, the performance of a distributed target detection system is evaluated by real measurement data obtained by UWB-radar-based sensor nodes. After local processing of the radar signal, the sensor nodes transmit their local decisions about the absence or presence of the target to a fusion center. For this purpose, a power-aware algorithm for resource allocation, which is tailored for UWB communication links is discussed. The feasibility and the effectiveness of this algorithm is evaluated by a hybrid approach based on the measurement data and simulations.\",\"PeriodicalId\":125591,\"journal\":{\"name\":\"2010 IEEE Radar Conference\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2010.5494504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2010.5494504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power-aware distributed target detection in wireless sensor networks with UWB-radar nodes
Distributed detection of targets is one of the major applications of wireless sensor networks. Many existing results on distributed detection are either derived from analytical models or are based on simulations. In this paper, the performance of a distributed target detection system is evaluated by real measurement data obtained by UWB-radar-based sensor nodes. After local processing of the radar signal, the sensor nodes transmit their local decisions about the absence or presence of the target to a fusion center. For this purpose, a power-aware algorithm for resource allocation, which is tailored for UWB communication links is discussed. The feasibility and the effectiveness of this algorithm is evaluated by a hybrid approach based on the measurement data and simulations.