NDLI: Adaptive code tracking loop design for GNSS receivers

Content Provider	IEEE Xplore Digital Library
Author	Kewen Sun
Copyright Year	2012
Description	Author affiliation: School of Computer & Information, Hefei University of Technology, Tunxi Road No.193, 230009, China (Kewen Sun)
Abstract	In this paper, in order to improve the Global Navigation Satellite System (GNSS) code tracking performance, a novel adaptive proportional-integral-derivative (PID) controlling strategy based on Radial Basis Function (RBF) neural network (NN) online identification is proposed in the loop filter design of the code tracking loop for a GNSS receiver. This proposed technique combines conventional PID controlling strategy with neural network algorithm, and generates a new type of PID controller with robustness and adaptability. Due to the self-learning ability of neural network, this proposed technique can self tune and automatically modify the robust PID parameters online by using gradient descent method. In order to illustrate the effectiveness and robustness of the proposed adaptive code tracking technique for GNSS receivers, simulation campaigns have been performed on the Galileo E1 Open Service (OS) BOC(1,1) signals. The simulation results show that this proposed code tracking technique provides adaptability, strong robustness and satisfactory performance, which satisfies stringent performance requirements for the code tracking process when the GNSS receiver works in nonlinear and time-varying signal environments.
Starting Page	282
Ending Page	290
File Size	1781994
Page Count	9
File Format	PDF
ISBN	9781467303859
ISSN	21533598
e-ISBN	9781467303873
DOI	10.1109/PLANS.2012.6236893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Receivers Educational institutions Navigation Artificial neural networks Robustness Radio frequency Phase locked loops GNSS PID Controller RBF Neural Network Adaptive Code Tracking Loop
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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