Doğan Yildiz, S. Karagol, O. Ozgonenel, Satish Tadiparthi, M. Bikdash
{"title":"一种新的传感器自定位方法","authors":"Doğan Yildiz, S. Karagol, O. Ozgonenel, Satish Tadiparthi, M. Bikdash","doi":"10.1109/SSPD.2015.7288499","DOIUrl":null,"url":null,"abstract":"This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.","PeriodicalId":212668,"journal":{"name":"2015 Sensor Signal Processing for Defence (SSPD)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A Novel Self Localization Approach for Sensors\",\"authors\":\"Doğan Yildiz, S. Karagol, O. Ozgonenel, Satish Tadiparthi, M. Bikdash\",\"doi\":\"10.1109/SSPD.2015.7288499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.\",\"PeriodicalId\":212668,\"journal\":{\"name\":\"2015 Sensor Signal Processing for Defence (SSPD)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Sensor Signal Processing for Defence (SSPD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSPD.2015.7288499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Sensor Signal Processing for Defence (SSPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSPD.2015.7288499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.