{"title":"基于Android平台的GNSS测量性能评估","authors":"Jiyuan Liu, Yifan Hu, Dongsong Zhang, Huafu Liu","doi":"10.1109/ICCSNT.2017.8343742","DOIUrl":null,"url":null,"abstract":"Positioning on mobile phones performs a fundamental role in our daily life. Recently, Google released some new interfaces to obtain GNSS measurements which provide application developers a new option to calculate position on Android phones. In this research, the measurements are collected in Google Nexus 9 operating on Android 7.0 OS. First, some aspects, such as VSN (Visible Satellite Number), HDOP (Horizontal Dilution of Precision) and CNR (Carrier to Noise Ratio), are assessed. Then, estimated position and velocity are calculated and assessed. Finally, the precision of position generated from integrating the velocity information into estimated position with KF (Kalman Filter) is also evaluated. We believe our assessments will give application developers guidance when they use Android GNSS measurements in positioning.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance assessment of GNSS measurements from Android platform\",\"authors\":\"Jiyuan Liu, Yifan Hu, Dongsong Zhang, Huafu Liu\",\"doi\":\"10.1109/ICCSNT.2017.8343742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Positioning on mobile phones performs a fundamental role in our daily life. Recently, Google released some new interfaces to obtain GNSS measurements which provide application developers a new option to calculate position on Android phones. In this research, the measurements are collected in Google Nexus 9 operating on Android 7.0 OS. First, some aspects, such as VSN (Visible Satellite Number), HDOP (Horizontal Dilution of Precision) and CNR (Carrier to Noise Ratio), are assessed. Then, estimated position and velocity are calculated and assessed. Finally, the precision of position generated from integrating the velocity information into estimated position with KF (Kalman Filter) is also evaluated. We believe our assessments will give application developers guidance when they use Android GNSS measurements in positioning.\",\"PeriodicalId\":163433,\"journal\":{\"name\":\"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)\",\"volume\":\"115 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSNT.2017.8343742\",\"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 6th International Conference on Computer Science and Network Technology (ICCSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSNT.2017.8343742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance assessment of GNSS measurements from Android platform
Positioning on mobile phones performs a fundamental role in our daily life. Recently, Google released some new interfaces to obtain GNSS measurements which provide application developers a new option to calculate position on Android phones. In this research, the measurements are collected in Google Nexus 9 operating on Android 7.0 OS. First, some aspects, such as VSN (Visible Satellite Number), HDOP (Horizontal Dilution of Precision) and CNR (Carrier to Noise Ratio), are assessed. Then, estimated position and velocity are calculated and assessed. Finally, the precision of position generated from integrating the velocity information into estimated position with KF (Kalman Filter) is also evaluated. We believe our assessments will give application developers guidance when they use Android GNSS measurements in positioning.
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