Joint Navigation and Synchronization in LEO Dual-Satellite Geolocation Systems

Zhao, Junhui1,2; Li, Lei1; Gong, Yi3

10.1109/VTCSpring.2017.8108339

2017

1550-2252

2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)

2017-June

Sydney, NSW, Australia

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

This paper considers the problem of tracking a mobile receiver using signals of Low Earth Orbit (LEO) satellites. Based on Time-Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), we joint the time synchronization and localization together with a static reference anchor, which has unknown position. In this scenario, the satellites is asynchronous. Considering the time- and frequency-offsets as additional unknown parameters, we proposed a Maximum Likelihood estimation approach to get the reference anchor's location and offsets. Then a sequential estimator jointly track the receiver location, velocity using extended Kalman filter (EKF) after revising the TDOA and FDOA measurements. Simulations demonstrate that our measurement model has a good fit, and our proposed estimator can successfully track both the receiver location, velocity with respect to the reference anchor with good accuracy.

TDOA FDOA navigation synchronization LEO satellites

其他

英语

CPCI-S ; EI

Shenzhen Peacock Program[KQJSCX20160226193545]

Computer Science ; Telecommunications ; Transportation

Computer Science, Interdisciplinary Applications ; Telecommunications ; Transportation Science & Technology

WOS:000426875800159

20180304662217

Extended Kalman filters ; Frequency allocation ; Frequency estimation ; Location ; Maximum likelihood estimation ; Navigation ; Satellites ; Synchronization ; Time difference of arrival

Satellites:655.2 ; Radio Systems and Equipment:716.3 ; Statistical Methods:922 ; Systems Science:961

Web of Science

1.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
2.East China Jiaotong Univ, Sch Informat Engn, Nanchang 330013, Jiangxi, Peoples R China
3.South Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China

Zhao, Junhui,Li, Lei,Gong, Yi. Joint Navigation and Synchronization in LEO Dual-Satellite Geolocation Systems[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017.