{"title":"GPSnet中NRTK两种误差模型的精度及拟合面差","authors":"Suqin Wu, Kefei Zhang, D. Silcock","doi":"10.5081/JGPS.8.2.154","DOIUrl":null,"url":null,"abstract":"In the past years, several regional error models for the network RTK (NRTK) approach have been proposed, investigated and used. Most of the studies are based on one single model to test the model's performance in a reference network or a few reference networks. Very limited research has been conducted to evaluate performance differences of different error models in the same network using the same test dataset. It is difficulty to predict which of the models will outperform the others for a specific network since different reference networks have different error characteristics. For example, the multipath effect (or the station specific error), the spatial atmospheric pattern, and the scale of the ionospheric disturbance may be different in different networks. These factors may cause differences in performance among different error models.","PeriodicalId":237555,"journal":{"name":"Journal of Global Positioning Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Differences in Accuracies and Fitting Surface Planes of Two Error Models for NRTK in GPSnet\",\"authors\":\"Suqin Wu, Kefei Zhang, D. Silcock\",\"doi\":\"10.5081/JGPS.8.2.154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the past years, several regional error models for the network RTK (NRTK) approach have been proposed, investigated and used. Most of the studies are based on one single model to test the model's performance in a reference network or a few reference networks. Very limited research has been conducted to evaluate performance differences of different error models in the same network using the same test dataset. It is difficulty to predict which of the models will outperform the others for a specific network since different reference networks have different error characteristics. For example, the multipath effect (or the station specific error), the spatial atmospheric pattern, and the scale of the ionospheric disturbance may be different in different networks. These factors may cause differences in performance among different error models.\",\"PeriodicalId\":237555,\"journal\":{\"name\":\"Journal of Global Positioning Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Global Positioning Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5081/JGPS.8.2.154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Positioning Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5081/JGPS.8.2.154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Differences in Accuracies and Fitting Surface Planes of Two Error Models for NRTK in GPSnet
In the past years, several regional error models for the network RTK (NRTK) approach have been proposed, investigated and used. Most of the studies are based on one single model to test the model's performance in a reference network or a few reference networks. Very limited research has been conducted to evaluate performance differences of different error models in the same network using the same test dataset. It is difficulty to predict which of the models will outperform the others for a specific network since different reference networks have different error characteristics. For example, the multipath effect (or the station specific error), the spatial atmospheric pattern, and the scale of the ionospheric disturbance may be different in different networks. These factors may cause differences in performance among different error models.