Probabilistic Possibilistic Models

Superresolving Method Of Estimating Parameters Of Multicomponent Signals

Vasilenko Stanislav Ivanovich^a, V. N. Mikhno^a, Shestov Alexander Mikhailovich^a, Shakhparonyan Artem Pavlovich

^a Tver State University

Abstract: The article offers a method and an algorithm for estimating parameters of multicomponent signals, providing a significantly higher frequency resolution of the components compared to the spectral methods in the wide dynamic diapason of component signal intensities.

Keywords: Signal model, autoregression, autocorrelational matrix, rotation method, frequency resolution, estimation.

UDC: 681.372.542

Received: 10.12.2013
Revised: 18.12.2013