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Signal-detection and signal-processing algorithms for code-division multiple-access satellite mobile communications systems employed simultaneously with satellite radio navigation systems

  • Theory and Methods of Signal Processing
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Abstract

The Markovian theory of random process estimation is applied to synthesize optimal (and close to optimal) algorithms with discrete-parameter feedbacks. The problem is solved in the case when it is necessary to provide for detection and complex nonlinear processing of discrete-continuous noiselike signals used in code-division multiple-access satellite mobile communications systems employed simultaneously with satellite radio navigation systems. It is assumed that the discrete part of a discrete-continuous state vector to be estimated contains two components, each being characterized by a multiposition simple Markovian chain and that desired signals are observed in the presence of additive partially colored (correlated) Gaussian noises.

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Authors
  1. M. S. Yarlykov
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  2. S. M. Yarlykova
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Additional information

Original Russian Text © M.S. Yarlykov, S.M. Yarlykova, 2006, published in Radiotekhnika i Elektronika, 2006, Vol. 51, No. 8, pp. 933–953.

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Yarlykov, M.S., Yarlykova, S.M. Signal-detection and signal-processing algorithms for code-division multiple-access satellite mobile communications systems employed simultaneously with satellite radio navigation systems. J. Commun. Technol. Electron. 51, 874–894 (2006). https://doi.org/10.1134/S1064226906080055

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  • DOI: https://doi.org/10.1134/S1064226906080055

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