{"title":"基于PDOA方法的甚高频发射机定位:仿真与实验","authors":"Y. Erhel, N. Amiot, D. Lemur, F. Marie, M. Oger","doi":"10.1109/ICM.2017.8268814","DOIUrl":null,"url":null,"abstract":"This paper presents an application of PDOA methods to the localization of a static VHF transmitter. After a summary presentation of hyperbolic methods, simulations are carried out involving least mean squares algorithms to estimate the transmitter position. They underline a reduction of the localization error induced by the weighted least mean squares algorithm. In a final step, an experimentation on a small scale scheme and set up with 9 sensors provides a transmitter localization with an accuracy coherent with simulation results.","PeriodicalId":115975,"journal":{"name":"2017 29th International Conference on Microelectronics (ICM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Localization of a VHF transmitter based on PDOA methods: Simulations and experiments\",\"authors\":\"Y. Erhel, N. Amiot, D. Lemur, F. Marie, M. Oger\",\"doi\":\"10.1109/ICM.2017.8268814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an application of PDOA methods to the localization of a static VHF transmitter. After a summary presentation of hyperbolic methods, simulations are carried out involving least mean squares algorithms to estimate the transmitter position. They underline a reduction of the localization error induced by the weighted least mean squares algorithm. In a final step, an experimentation on a small scale scheme and set up with 9 sensors provides a transmitter localization with an accuracy coherent with simulation results.\",\"PeriodicalId\":115975,\"journal\":{\"name\":\"2017 29th International Conference on Microelectronics (ICM)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 29th International Conference on Microelectronics (ICM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2017.8268814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2017.8268814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Localization of a VHF transmitter based on PDOA methods: Simulations and experiments
This paper presents an application of PDOA methods to the localization of a static VHF transmitter. After a summary presentation of hyperbolic methods, simulations are carried out involving least mean squares algorithms to estimate the transmitter position. They underline a reduction of the localization error induced by the weighted least mean squares algorithm. In a final step, an experimentation on a small scale scheme and set up with 9 sensors provides a transmitter localization with an accuracy coherent with simulation results.