Fully Adaptive Smart Vector tracking of Weak GPS Signals

被引：8

作者：

Farhad, M. A. ^{[1
]}

Mosavi, M. R. ^{[1
]}

Abedi, A. A. ^{[1
]}

机构：

[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran 1684613114, Iran

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2021年 / 46卷 / 02期

关键词：

Vector tracking; Weak signal; Fuzzy logic; Kalman filter; KALMAN FILTER; IMPLEMENTATION; INTEGRATION; GLONASS; LOOP;

D O I：

10.1007/s13369-020-05172-4

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Global Navigation Satellite Systems (GNSS) are used in various applications such as mapping, automotive, aviation, military and so on. GNSS receivers cannot track satellites signal in degraded signal environment. In recent years, vector tracking is one of the methods that have been used to solve the weak signal tracking problem. In the vector tracking, the extended Kalman filter (EKF) is used to estimate the states of the system. The EKF has no ability to track the satellite signal when the signal is under unfavorable conditions. In this paper, a method based on the extended Kalman filter is proposed, in which all the adjustable parameters are adapted in a fuzzy method. The results show that this proposed method can track weak signals better than the previous methods. With this method, it is possible to track poor signals for longer times than previous methods.

引用

页码：1383 / 1393

页数：11

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