{"title":"利用RSCMAC提高DGPS精度的硬件实现","authors":"Ching-Tsan Chiang, J. Hsu, Sheng Yang","doi":"10.1109/BMEI.2011.6098782","DOIUrl":null,"url":null,"abstract":"The purpose of this research is to develop and apply the “Recurrent S_CMAC_GBF (RSCMAC) [2] to enhance the accuracy of Global Positioning System (GPS). The performance is implemented and tested by a FPGA chip. In the research, the previous work has accomplished outstanding performance by using RSCMAC to predict GPS receiver static error to improve the error of the Differential-GPS. The simulation result shows 10 times accuracy is improved — GPS error is improved from larger than **** 20M to less than **** 2M. This paper employs previous research result to whole area prediction (non single fixed position), and then implements the performance by a FPGA chip. The key point is to commercialize the prototype design and its development. The most advantage of this project is to improve inexpensive GPS receiver positioning errors to increase the economic benefit of higher accuracy.","PeriodicalId":102860,"journal":{"name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hardware implementation in DGPS accuracy improvement by using RSCMAC\",\"authors\":\"Ching-Tsan Chiang, J. Hsu, Sheng Yang\",\"doi\":\"10.1109/BMEI.2011.6098782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this research is to develop and apply the “Recurrent S_CMAC_GBF (RSCMAC) [2] to enhance the accuracy of Global Positioning System (GPS). The performance is implemented and tested by a FPGA chip. In the research, the previous work has accomplished outstanding performance by using RSCMAC to predict GPS receiver static error to improve the error of the Differential-GPS. The simulation result shows 10 times accuracy is improved — GPS error is improved from larger than **** 20M to less than **** 2M. This paper employs previous research result to whole area prediction (non single fixed position), and then implements the performance by a FPGA chip. The key point is to commercialize the prototype design and its development. The most advantage of this project is to improve inexpensive GPS receiver positioning errors to increase the economic benefit of higher accuracy.\",\"PeriodicalId\":102860,\"journal\":{\"name\":\"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BMEI.2011.6098782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMEI.2011.6098782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware implementation in DGPS accuracy improvement by using RSCMAC
The purpose of this research is to develop and apply the “Recurrent S_CMAC_GBF (RSCMAC) [2] to enhance the accuracy of Global Positioning System (GPS). The performance is implemented and tested by a FPGA chip. In the research, the previous work has accomplished outstanding performance by using RSCMAC to predict GPS receiver static error to improve the error of the Differential-GPS. The simulation result shows 10 times accuracy is improved — GPS error is improved from larger than **** 20M to less than **** 2M. This paper employs previous research result to whole area prediction (non single fixed position), and then implements the performance by a FPGA chip. The key point is to commercialize the prototype design and its development. The most advantage of this project is to improve inexpensive GPS receiver positioning errors to increase the economic benefit of higher accuracy.