Point Positioning using Extended Kalman Filtering in Single Frequency Beidou Receivers

被引：0

作者：

Farooq, Salma Zamab ^{[1
]}

Hong, Xuebao ^{[1
]}

Yang, Dongkai ^{[1
]}

Xia, Ming ^{[1
]}

Ada, Echoda Ngbede Joshua ^{[1
]}

机构：

[1] Beihang Univ BUAA, Sch Elect & Informat Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF 5TH IEEE CONFERENCE ON UBIQUITOUS POSITIONING, INDOOR NAVIGATION AND LOCATION-BASED SERVICES (UPINLBS) | 2018年

关键词：

point positioning; BDS; Extended Kalman Filtering; Single frequency Receivers; mass market applications;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

BeiDou is the Chinese global satellite navigation system steadily accelerating towards completion by 2020. The system aims to provide continuous, stable and reliable position, navigation and timing services to users across globe. This research focusses on determining the system accuracy using an extended Kalman filter for point positioning in single frequency BeiDou Receivers. Low cost single frequency receivers are targeted for mass market applications. The filter model is described in detail and positioning results are obtained for both extended Kalman filter and traditional least squares technique. It is seen that the extended Kalman filter based navigation solution has a much lower positioning error than the least square approach. The technique can contribute to volunteered geographic information services such as OpenStreetMap etc.

引用

页码：323 / 327

页数：5

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