Maximum a posteriori probability line tracking for nonstationary processes

1 January 1991

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 3169-3172 vol.5
https://doi.org/10.1109/icassp.1991.150128

Abstract

The problem of estimating the instantaneous frequency (IF) of a discrete time FM signal in additive white noise is addressed. The IF laws are modeled as first-order stationary Markov processes defined on the unit circle and a recursive algorithm for determining the maximum a posteriori probability IF sequences is derived. The basic single signal algorithm is of complexity O(N/sup 3/T) where T is the length of the signal segment and N is the number of subintervals of discretization of (0,2 pi ) used for the maximization step. Some examples are given to illustrate the tracking ability of the method.

Keywords

This publication has 2 references indexed in Scilit:

Cartesian hidden Markov models with applications
IEEE Transactions on Signal Processing, 1992
Modulo-2piphase sequence estimation (Corresp.)
IEEE Transactions on Information Theory, 1980