Please use this identifier to cite or link to this item:
Title: Adaptively robust phase lock loop for low C/N carrier tracking in a GPS software receiver
Authors: Miao, JF
Chen, W 
Sun, YR
Liu, JY
Issue Date: 2011
Source: 自动化学报 (Acta automatica sinica), 2011, v. 37, no. 1, p. 52-60
Abstract: An important issue in GPS applications is how to track GPS (global positioning system) signal precisely and continuously under low carrier-to-noise ratio (C/N). In this paper, an adaptively robust filter based low C/N carrier phase lock loop (PLL) is developed under a GPS software receiver platform. Considering the effect of low C/N carrier signal on the traditional tracking loop, a parallel correlation tracking loop is established. A linear optimal estimator is designed to deal with the dependent noises in kinematics model and measurements. Furthermore, an adaptively robust filter is designed based on a three segment function adjust factor. When received signals are under favorable conditions, the performance of the new filter is very similar to a standard Kalman filter. For a practical weak carrier tracking, this new enhanced PLL intelligently tunes the loop parameters according to the total phase jitter analysis. It successfully resists the outliers and dynamic model errors by adaptively balancing the influence of updated dynamic model state and the measurements. The robustness and efficiency of the new filter is demonstrated by some real data testing experiments. The results verify that the standard deviation of the phase errors with this adaptively robust phase tracking loop can reach 0.01 cycles with satellite C/N ratios around 24 dB-Hz, which improves the performance significantly.
Keywords: Global positioning system (GPS)
Phase tracking loop
Signal processing
Software radio
Publisher: 科學出版社
Journal: 自动化学报 (Acta automatica sinica) 
ISSN: 0254-4156
DOI: 10.3724/SP.J.1004.2011.00052
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Sep 8, 2020

Page view(s)

Last Week
Last month
Citations as of Sep 14, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.