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- Title
Suboptimal Algorithms with Parameter Reassignment for Receiving and Processing BOC Signals in Global Navigation Satellite Systems.
- Authors
Yarlykov, M. S.; Yarlykova, S. M.
- Abstract
In this paper, we develop suboptimal algorithms for receiving and processing binary offset carrier (BOC) signals for use in global navigation satellite systems (GNSSs), such as GPS (USA), GLONASS (Russia), Galileo (European Union), and BeiDou (China) in the framework of the Markov estimation theory based on the method of reassigning the parameters of the vector of continuous processes. The problem is solved in relation to a vector discrete-continuous Markov random process for the case when its continuous part is a vector diffusion Markov process while the discrete part is characterized by a simple Markov chain in several positions. It is assumed that useful BOC signals are observed against the background of additive white Gaussian noise. Analytical relations for a suboptimal conditional estimate and a covariance matrix of suboptimal conditional estimation errors for a sampling of a vector of continuous parameters are obtained. Block diagrams of those modules of the suboptimal system for receiving and processing BOC signals in GNSSs, which differ from the corresponding modules of the quasi-optimal system, are presented. The results of the study are completely applicable in the cases of noise-like signals of current GNSSs, in which BOC signals are not yet used.
- Subjects
GALILEI, Galileo, 1564-1642; GLOBAL Positioning System; SIGNAL processing; ADDITIVE white Gaussian noise; ESTIMATION theory; MARKOV processes; KALMAN filtering; CONTINUOUS processing
- Publication
Journal of Communications Technology & Electronics, 2022, Vol 67, Issue 9, p1082
- ISSN
1064-2269
- Publication type
Article
- DOI
10.1134/S1064226922090157