Enhancing the efficiency of spectral analysis of signals by the Root-MUSIC method using surrogate data

Pavlo Yu. Kostenko; Volodymyr I. Vasylyshyn

doi:10.3103/S0735272714010026

Authors

Pavlo Yu. Kostenko Ivan Kozhedub Kharkiv National Air Force University, Ukraine https://orcid.org/0000-0002-3382-0684
Volodymyr I. Vasylyshyn Ivan Kozhedub Kharkiv National Air Force University, Ukraine https://orcid.org/0000-0002-5461-0125

DOI:

https://doi.org/10.3103/S0735272714010026

Keywords:

surrogate data, eigenstructure methods, bootstrap, signal-to-noise ratio, randomization

Abstract

A problem of enhancing the efficiency of spectral analysis of signals observed against the background of noise by using the Root-MUSIC method and the technology of surrogate data obtained by the randomization of phases of spectral components of observations has been considered. The results of spectral analysis simulation are presented. The application of this technology was shown to be effective at small and large values of the signal-to-noise ratio when the frequencies of signal components are a multiple of the observation sampling frequency.

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