Efficient method of M-PSK demodulation based on particle filtering

: pp. 137-143
Received: February 07, 2019
Revised: March 28, 2019
Accepted: March 29, 2019

Math. Model. Comput. Vol.6, No.1, pp.137-143 (2019)

Research and Development Department, Delta SPE LLC
Research and Development Department, Delta SPE LLC

An efficient particle filtering algorithm for demodulation of M-PSK signals at the background of non-Gaussian noise is proposed.  The state-space model of the observation signal is formulated including the dynamics of channel parameters' updating.  The resulting estimation of informative symbols and channel parameters is done in two parallel contours.  The simulations for QPSK signals have shown that for a sufficiently high number of particles the proposed method outperforms classical demodulation approach based on Gardner and Costas loops.