DocumentCode :
1854985
Title :
Performance analysis of adaptive vector tracking loop
Author :
Yu Luo ; Yongqing Wang ; Yuanxing Ma
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
Volume :
3
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
2166
Lastpage :
2170
Abstract :
In this paper, the mean square error of the pseudorange residual and the pseudorange-rate residual is analyzed for evaluating the performance of vector delay/frequency lock loop (VDFLL). The residual is related to the error of navigation filter using extended Kalman filter. The expressions derived from least squares estimator, weighted least squares estimator and Kalman filter are presented and compared. And the influence on the performance of inaccurate covariance matrix of the observation noise is analyzed. Finally, the simulation results prove the analysis result and show the remarkable adaptability of vector tracking loop. The conclusion in this paper can be referenced and utilized in scheming vector delay/frequency lock loops.
Keywords :
Kalman filters; delay lock loops; frequency locked loops; least squares approximations; matrix algebra; navigation; VDFLL; adaptive vector tracking loop; covariance matrix; extended Kalman filter; mean square error; navigation filter; pseudorange-rate residual; vector delay-frequency lock loop; vector tracking loop; weighted least squares estimator; extended Kalman filter(EKF); least squares estimator(LSE); vector delay/frequency lock loop (VDFLL); weighted least squares estimator (WLSE);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6492010
Filename :
6492010
Link To Document :
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