Paper Info
Title
C/N 0 Estimator Based on the Adaptive Strong Tracking Kalman Filter for GNSS Vector Receivers.
Abstract
The carrier-to-noise ratio (C/N-0) is an important indicator of the signal quality of global navigation satellite system receivers. In a vector receiver, estimating C/N-0 using a signal amplitude Kalman filter is a typical method. However, the classical Kalman filter (CKF) has a significant estimation delay if the signal power levels change suddenly. In a weak signal environment, it is difficult to estimate the measurement noise for CKF correctly. This article proposes the use of the adaptive strong tracking Kalman filter (ASTKF) to estimate C/N-0. The estimator was evaluated via simulation experiments and a static field test. The results demonstrate that the ASTKF C/N-0 estimator can track abrupt variations in C/N-0 and the method can estimate the weak signal C/N-0 correctly. When C/N-0 jumps, the ASTKF estimation method shows a significant advantage over the adaptive Kalman filter (AKF) method in terms of the time delay. Compared with the popular C/N-0 algorithms, the narrow-to-wideband power ratio (NWPR) method, and the variance summing method (VSM), the ASTKF C/N-0 estimator can adopt a shorter averaging time, which reduces the hysteresis of the estimation results.
Year
DOI
Venue
2020
10.3390/s20030739
SENSORS
Keywords
Field
DocType
global navigation satellite system (GNSS),vector tracking loops,carrier-to-noise ratio,strong tracking Kalman filter
Carrier-to-noise ratio,Signal quality,Control theory,Satellite system,Hysteresis,Kalman filter,Electronic engineering,GNSS applications,Engineering,Amplitude,Estimator
Journal
Volume
Issue
ISSN
20
3
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Shiming Liu101.01
Sihai Li242.82
Jiangtao Zheng301.69
Qiangwen Fu443.16
Yanhua Yuan500.68