A method for reducing error of the estimate useful components under a Priori Uncertainty and devices, implements it

摘要

1. A method for reducing estimation error in a useful component of a priori uncertainties is that the initial implementation of a nonstationary random signal is divided into intervals of arbitrary length and approximated on each arbitrary degree polynomial, thereby forming a signal estimate for a given partition, the formation of multiple partitions of the original implementing unsteady signal at intervals of random length allows to obtain a plurality of estimates at each of its cross section, which averaging pho miruetsya resultant estimate and characterized in that for the formation of the resultant evaluation of the useful signal, the modal value is obtained with respect to a plurality of ratings to reduce system error isolation function of the measured signal by an average of 20% in each section .2 nonstationary random signal source. Apparatus reduce estimation error useful component under a priori uncertainties comprises a buffer unit, the input of which is a data input device and an output connected to the inputs of the measurement result storage blocks, to the control inputs of which are connected the outputs K switching units, to the inputs of which are connected to the output partition of the block, the outputs measurement results of storage units are connected to inputs approximation blocks whose outputs are connected to the input of the storage unit estimates the initial implementation, bl approx storing the resultant evaluation of the useful signal, whose output is the data output device, characterized in that the initial implementation of the output count storage unit connected to the input b