Title :
High dynamic carrier phase tracking based on adaptive Kalman filtering
Author :
Yao, Guo ; Wenqi, Wu ; Xiaofeng, He
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The typical GNSS carrier phase tracking loop with fixed parameters is easy to lose lock under high dynamic situation. In this paper the design of two kinds of carrier tracking method is presented. Firstly, the structure of Kalman-based-PLL is introduced. And then a new adaptive method is proposed after analyzing the relationship of carrier phase tracking error and state error covariance characteristics of Kalman-based-PLL. Simulation results show that the adaptive Kalman-based-PLL can track high dynamic carrier phase with 100g/s jerk and the carrier phase tracking error standard deviation is less than 0.011 cycles.
Keywords :
Kalman filters; adaptive filters; radio tracking; satellite navigation; statistical analysis; GNSS carrier phase tracking loop; adaptive Kalman filtering; adaptive Kalman-based-PLL; carrier phase tracking error; high dynamic carrier phase tracking; standard deviation; state error covariance characteristics; Bandwidth; Doppler effect; Heuristic algorithms; Noise; Stress; Tracking loops; Vehicle dynamics; Adaptive Kalman filter; Carrier phase tracking; High dynamic; PLL;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968379