NDLI: Square-root cubature Kalman filter-based vector tracking algorithm in GPS signal harsh environments

Content Provider	IET Digital Library
Author	Wang, Huibin Cheng, Yongmei Zhang, Youmin
Abstract	In a vector tracking loop (VTL) architecture, non-linearities exist in discriminator functions and pseudo-range/pseudo-range rate measurement expressions. Generally, normalisation functions are used in discriminators to export the desired code phase or carrier frequency error and the extended Kalman filter is adopted to estimate receiver's states. This process could be accurate enough when the code phase or carrier frequency error approaches zero in the signal moderate environment but begins to distort due to non-linearity when the tracking errors become large in harsh situations. This finally narrows the applicable range of VTL. To overcome this issue, a square-root cubature Kalman filter (CKF)-based VTL is designed in this study. The discriminator functions are employed directly as measurements of navigation filter, and the non-linear expressions of discriminator functions in terms of the receiver's position, velocity, and time states are derived without normalisation. Then the CKF, which is competitive in high-dimensional non-linear systems, is employed in its square-root version to estimate the position, velocity, acceleration, and time states of the receiver. Comparison trial results between traditional and proposed VTL illustrate that the proposed algorithm can not only keep a superior tracking accuracy but also improves the tracking stability of VTL in <20 dB-Hz signal harsh circumstances.
Starting Page	1968
Ending Page	1975
Page Count	8
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 12, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0317
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-09-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	20 DB Hz Signal Harsh Circumstances Desired Code Phase Discriminator Discriminator Function Extended Kalman Filter Filtering Method in Signal Processing Global Positioning System GPS Signal Harsh Environments Harsh Situations Kalman Filter Navigation Filter Nonlinear Expressions Nonlinear Filter Nonlinear System Nonlinearities Normalisation Function Radio Navigation And Direction Finding Signal Moderate Environment Square-root Cubature Kalman Filter-based Vector Tracking Algorithm Square-root Cubature Kalman Filter-based VTL Square-root Version Statistics Superior Tracking Accuracy Time State Tracking Error Traditional Proposed VTL Vector Tracking Loop Architecture
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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