A PN sequential estimation method based on multilink chain Markov model

 

D. E. Prozorov

Federal Government-financed Educational Institution of Higher Professional Education

«Vyatka State University» (FGEI HPE “VyatSU”)

Received October 16, 2013

Abstract: The problem of sequential estimation of pseudonoise (PN) signals derived from m-sequences is considered. The multilink Markov chain is proposed as a model of m-sequence. The algorithm of nonlinear filtering of PN signals is developed based on proposed model. This algorithm allows reducing the time of code synchronization in DSSS systems.

Key words: code synchronization, multilink Markov chain, sequential estimation, pseudonoise signal.