Quantcast

STUDY OF ALGORITHMS FOR ESTIMATING SIGNALS WITH A PULSED-DISTURBANCE FLOW

Research paper by O. V. Pol'din, A. M. Silaev

Indexed on: 01 Dec '01Published on: 01 Dec '01Published in: Radiophysics and Quantum Electronics



Abstract

Using the methods of the Markov theory of optimal nonlinear filtering, we derive equations of the algorithm for estimating random signals described by linear difference equations in discrete time in the case of a pulsed-disturbance flow. Optimal estimates of signals are represented as the sum of auxiliary estimates allowing for the influence of pulsed disturbances spaced apart by a multiple number of pulses. The results of mathematical simulation are given and the algorithm structure is discussed.