{"title":"基于RHCP和LHCP天线的GNSS信号分类模糊逻辑方法","authors":"Bassma Guermah, T. Sadiki, Hassan El Ghazi","doi":"10.1109/UEMCON.2017.8249026","DOIUrl":null,"url":null,"abstract":"Today, the problem of global navigation satellite system (GNSS) positioning in urban canyons has received considerable attention in several field, such as transport and emergency systems. However, the performances of GNSS-based systems can be degraded in urban areas due to non-line-of-sight (NLOS), Multipath and masking effects. In this paper, we aim to explore the potential of RHCP, LHCP antennas technology and the fuzzy logic method for identifying GNSS signal reception state. The fuzzy system developed has based on the satellite elevation and the C/N0-R-L, which is the difference between the left-hand circular polarized (LHCP) C/N0 (carrier-to-noise ratio) and the right-hand circular polarized (RHCP) C/N0. A signal reception state classification by applying the proposed system is demonstrated on a real global positioning system (GPS) signal, and the efficiency of the classifier is shown.","PeriodicalId":403890,"journal":{"name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Fuzzy logic approach for GNSS signal classification using RHCP and LHCP antennas\",\"authors\":\"Bassma Guermah, T. Sadiki, Hassan El Ghazi\",\"doi\":\"10.1109/UEMCON.2017.8249026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, the problem of global navigation satellite system (GNSS) positioning in urban canyons has received considerable attention in several field, such as transport and emergency systems. However, the performances of GNSS-based systems can be degraded in urban areas due to non-line-of-sight (NLOS), Multipath and masking effects. In this paper, we aim to explore the potential of RHCP, LHCP antennas technology and the fuzzy logic method for identifying GNSS signal reception state. The fuzzy system developed has based on the satellite elevation and the C/N0-R-L, which is the difference between the left-hand circular polarized (LHCP) C/N0 (carrier-to-noise ratio) and the right-hand circular polarized (RHCP) C/N0. A signal reception state classification by applying the proposed system is demonstrated on a real global positioning system (GPS) signal, and the efficiency of the classifier is shown.\",\"PeriodicalId\":403890,\"journal\":{\"name\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UEMCON.2017.8249026\",\"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 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UEMCON.2017.8249026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic approach for GNSS signal classification using RHCP and LHCP antennas
Today, the problem of global navigation satellite system (GNSS) positioning in urban canyons has received considerable attention in several field, such as transport and emergency systems. However, the performances of GNSS-based systems can be degraded in urban areas due to non-line-of-sight (NLOS), Multipath and masking effects. In this paper, we aim to explore the potential of RHCP, LHCP antennas technology and the fuzzy logic method for identifying GNSS signal reception state. The fuzzy system developed has based on the satellite elevation and the C/N0-R-L, which is the difference between the left-hand circular polarized (LHCP) C/N0 (carrier-to-noise ratio) and the right-hand circular polarized (RHCP) C/N0. A signal reception state classification by applying the proposed system is demonstrated on a real global positioning system (GPS) signal, and the efficiency of the classifier is shown.
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