Sigma-Point Kalman Filter Algorithm in the Problem of GNSS Signal Parameters Estimation in Non-Coherent Tracking Mode in Spacecraft Autonomous Navigation Equipment-Reference-Cited by-同舟云学术

Sigma-Point Kalman Filter Algorithm in the Problem of GNSS Signal Parameters Estimation in Non-Coherent Tracking Mode in Spacecraft Autonomous Navigation Equipment

Published:2018-10 Issue:4 Volume:9 Page:255-266
ISSN:2075-1087
Container-title:Gyroscopy and Navigation
language:en
Short-container-title:Gyroscopy Navig.

Author:

Shavrin V. V.,Tislenko V. I.,Lebedev V. Yu.,Filimonov V. A.,Konakov A. S.

Publisher

Pleiades Publishing Ltd

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1134/S2075108718040089.pdf

Reference26 articles.

1. Perov, A.I., and Kharisov, V.N., GLONASS: printsipy postroeniya i funktsionirovaniya (GLONASS: Principles of Construction and Functioning), Moscow: Radiotekhnika, 2010.

2. Kaplan, E.D., and Hegarty, C.J., Understanding GPS. Principles and Applications, Artech House, 2006, 2nd ed.

3. Mikhailov, N.V., Avtonomnaya navigatsiya kosmicheskikh apparatov pri pomoshchi sputnikovykh radionavigatsionnykh sistem (Autonomous Navigation of Spacecraft Using Radionavigation Satellite Systems), St. Petersburg: Politekhnika, 2014.

4. Psiaki, M.L., and Jung, H., Extended Kalman filter methods for tracking weak GPS signals, Proceedings of ION GPS 2002, Portland, USA, 2002, pp. 2539–2553.

5. Ziedan N.I., and Garrison J.L., Bit synchronization and Doppler frequency removal at very low carrier to noise ratio using a combination of the Viterbi algorithm with an extended Kalman filter, Proceedings of ION GPS 2003, Portland, USA, 2003, pp. 616–627.

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