{"title":"用户坐标先验不确定性下的GNSS完整性监测","authors":"A. P. Rachitskaya, I. Tsikin","doi":"10.1109/EEXPOLYTECH.2018.8564371","DOIUrl":null,"url":null,"abstract":"In this work we consider the optimum antenna array signal processing for spoofing interference detection to provide GNSS integrity monitoring procedure. In accordance to generalized likelihood ratio test (GLRT) we constructed decision-making algorithm when there is no a priori information about the coordinates of both the user and the false navigation signal source. Since the practical implementation of such algorithm requires large computational costs, we also consider another algorithm, which is optimized for the situation when these coordinates are accurately known. However, we examine the second algorithm in the situation of a priori uncertainty about user's coordinates, i.e. in some uncertainty area. Comparative analysis of the mentioned algorithms was processed in terms of probability-based characteristics obtained as the result of statistical simulation procedure in Matlab. Finally, the value of the uncertainty area size is established, when the efficiency loss of the second algorithm in comparison with the first one is within acceptable limits.","PeriodicalId":296618,"journal":{"name":"2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"GNSS Integrity Monitoring in Case of a Priori Uncertainty About User's Coordinates\",\"authors\":\"A. P. Rachitskaya, I. Tsikin\",\"doi\":\"10.1109/EEXPOLYTECH.2018.8564371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we consider the optimum antenna array signal processing for spoofing interference detection to provide GNSS integrity monitoring procedure. In accordance to generalized likelihood ratio test (GLRT) we constructed decision-making algorithm when there is no a priori information about the coordinates of both the user and the false navigation signal source. Since the practical implementation of such algorithm requires large computational costs, we also consider another algorithm, which is optimized for the situation when these coordinates are accurately known. However, we examine the second algorithm in the situation of a priori uncertainty about user's coordinates, i.e. in some uncertainty area. Comparative analysis of the mentioned algorithms was processed in terms of probability-based characteristics obtained as the result of statistical simulation procedure in Matlab. Finally, the value of the uncertainty area size is established, when the efficiency loss of the second algorithm in comparison with the first one is within acceptable limits.\",\"PeriodicalId\":296618,\"journal\":{\"name\":\"2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEXPOLYTECH.2018.8564371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEXPOLYTECH.2018.8564371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GNSS Integrity Monitoring in Case of a Priori Uncertainty About User's Coordinates
In this work we consider the optimum antenna array signal processing for spoofing interference detection to provide GNSS integrity monitoring procedure. In accordance to generalized likelihood ratio test (GLRT) we constructed decision-making algorithm when there is no a priori information about the coordinates of both the user and the false navigation signal source. Since the practical implementation of such algorithm requires large computational costs, we also consider another algorithm, which is optimized for the situation when these coordinates are accurately known. However, we examine the second algorithm in the situation of a priori uncertainty about user's coordinates, i.e. in some uncertainty area. Comparative analysis of the mentioned algorithms was processed in terms of probability-based characteristics obtained as the result of statistical simulation procedure in Matlab. Finally, the value of the uncertainty area size is established, when the efficiency loss of the second algorithm in comparison with the first one is within acceptable limits.