{"title":"基于通用接收机和多信号分类(MUSIC)方法的卫星信号到达方向估计减少卫星定位中的多径误差","authors":"Hiromune Namie;Dai Nagafuchi;Takemitsu Fujita","doi":"10.23919/comex.2025XBL0034","DOIUrl":null,"url":null,"abstract":"Satellite positioning has become accurate to the millimeter order with the use of carrier phase observation data for distance measurement, but one type of error namely multipath error remaines. In this research, as a preliminary step to reducing multipath errors using the data observed with an array antenna, we used a general-purpose receiver and the MUltiple SIgnal Classification (MUSIC) method to determine the direction of arrival of satellite signals. It was found that the direction of arrival of satellite signals can be estimated from pseudo carrier phase observation data using the MUSIC method.","PeriodicalId":54101,"journal":{"name":"IEICE Communications Express","volume":"14 6","pages":"257-259"},"PeriodicalIF":0.3000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10964029","citationCount":"0","resultStr":"{\"title\":\"Satellite Signal Arrival Direction Estimation to Reduce Multipath Errors Using General-Purpose Receivers and the Multiple Signal Classification (MUSIC) Method in Satellite Positioning\",\"authors\":\"Hiromune Namie;Dai Nagafuchi;Takemitsu Fujita\",\"doi\":\"10.23919/comex.2025XBL0034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Satellite positioning has become accurate to the millimeter order with the use of carrier phase observation data for distance measurement, but one type of error namely multipath error remaines. In this research, as a preliminary step to reducing multipath errors using the data observed with an array antenna, we used a general-purpose receiver and the MUltiple SIgnal Classification (MUSIC) method to determine the direction of arrival of satellite signals. It was found that the direction of arrival of satellite signals can be estimated from pseudo carrier phase observation data using the MUSIC method.\",\"PeriodicalId\":54101,\"journal\":{\"name\":\"IEICE Communications Express\",\"volume\":\"14 6\",\"pages\":\"257-259\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10964029\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEICE Communications Express\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10964029/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEICE Communications Express","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10964029/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Satellite Signal Arrival Direction Estimation to Reduce Multipath Errors Using General-Purpose Receivers and the Multiple Signal Classification (MUSIC) Method in Satellite Positioning
Satellite positioning has become accurate to the millimeter order with the use of carrier phase observation data for distance measurement, but one type of error namely multipath error remaines. In this research, as a preliminary step to reducing multipath errors using the data observed with an array antenna, we used a general-purpose receiver and the MUltiple SIgnal Classification (MUSIC) method to determine the direction of arrival of satellite signals. It was found that the direction of arrival of satellite signals can be estimated from pseudo carrier phase observation data using the MUSIC method.