scholarly journals The Explicit Tuning Investigation and Validation of a Full Kalman Filter-Based Tracking Loop in GNSS Receivers

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 111487-111498 ◽  
Author(s):  
Xinhua Tang ◽  
Xin Chen ◽  
Zhonghai Pei ◽  
Peng Wang
Keyword(s):  
Kalman Filter ◽  
Tracking Loop ◽  
Gnss Receivers

Increasing the Resistance of GPS Receivers by Using a Fuzzy Smart Estimator in Weak Signal Conditions

2020 ◽  
Vol 73 (5) ◽  
pp. 991-1013
Author(s):  
M. A. Farhad ◽  
M. R. Mosavi ◽  
A. A. Abedi ◽  
K. Mohammadi
Keyword(s):  
Kalman Filter ◽  
Simulated Data ◽  
Real Data ◽  
Navigation Systems ◽  
Weak Signal ◽  
Signal Tracking ◽  
Advantages And Disadvantages ◽  
Vector Tracking ◽  
Gnss Receivers ◽  
Satellite Navigation Systems

Global satellite navigation systems (GNSS) are nowadays used in many applications. GNSS receivers experience limitations in receiving weak signals in a degraded environment. Hence, tracking weak GNSS signals is a topic of interest to researchers in this field. Different methods have been proposed to address this issue, each of which has advantages and disadvantages. In this paper, a method based on the vector tracking method is proposed for weak signal tracking. This method has been developed based on a strong Kalman filter instead of the extended Kalman filter used in conventional vector tracking methods. In order to adjust important parameters of this filter, the fuzzy method is used. The results of tests performed with both simulated data and real data demonstrate that the proposed method performs better than previous ones in weak signal tracking.

An Array Nonlinear Kalman Tracker for Indoor GPS Signal

2010 ◽  
Vol 44-47 ◽  
pp. 3864-3868
Author(s):  
Ji Cheng Ding ◽  
Lin Zhao ◽  
Jia Liu ◽  
Shuai He Gao
Keyword(s):  
Dynamic Programming ◽  
Kalman Filter ◽  
Detection Probability ◽  
Viterbi Algorithm ◽  
Signal Quality ◽  
Tracking Loop ◽  
Central Difference ◽  
Signal Tracking ◽  
High Detection ◽  
Central Difference Kalman Filter

To implement indoor GPS signal tracking in standalone mode when the tracking loop is unlocked and data bit edge is unknown, the paper develops a modified Viterbi Algorithm (MVA) based on dynamic programming, and it was applied for GPS bit synchronization. Besides, two combination carrier tracking schemes based on Central Difference Kalman Filter (CDKF) and MVA module were designed for indoor GPS signal. The testing results indicate that the methods can successful detect bit edge position with high detection probability whether or not the tracking loop is locked. The co-operational tracking scheme is still able to perform when the signal quality deteriorate.

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