NDLI: Adaptive position-domain carrier-smoothed code filter based on innovation sequences

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Adaptive position-domain carrier-smoothed code filter based on innovation sequences

Content Provider	IET Digital Library
Author	Lee, Je Young Kim, Hee Sung Choi, Kwang Ho Cho, Jeongho Lee, Hyung Keun
Abstract	Owing to dependence on radio frequency signals, the accuracy of Global Navigation Satellite System (GNSS) is largely dependent on the receiver's surrounding environments. Accordingly, accurate and reliable GNSS positioning in various harsh environments has been one of the major problems of GNSS. With regard to improve positioning accuracy in GNSS, this study proposes an efficient covariance estimation method for position-domain carrier-smoothed code (CSC) filters which, differently from traditional Kalman filters, do not require a dynamics model for time propagation of system states. The exclusion of a dynamics model, however, may incur shortage of information to estimate covariance parameters. To handle this problem, the proposed method imposes minimal assumptions on covariance structures for pseudorange and carrier-phase measurements. Performance of the proposed method is demonstrated by an experimental result with field-collected measurements showing that the proposed covariance estimator improves the accuracy of CSC filtering considerably.
Starting Page	336
Ending Page	343
Page Count	8
ISSN	17518784
Volume Number	8
e-ISSN	17518792
Issue Number	Issue 4, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/8/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2013.0021
Journal	IET Radar, Sonar & Navigation
Publisher Date	2013-09-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Codes Adaptive Position-domain Carrier-smoothed Code Filter Carrier-phase Measurement Code Covariance Estimator Covariance Parameter CSC Filtering Dynamics Model Field-collected Measurement Filtering Method in Signal Processing Global Navigation Satellite System GNSS Positioning Innovation Management Innovation Sequence Kalman Filter Radio Frequency Signal Radio Navigation And Direction Finding Radio Receiver Satellite Communication System Satellite Navigation Time Propagation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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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Adaptive position-domain carrier-smoothed code filter based on innovation sequences

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