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.