Algorithm for Estimating the Spectral Correlation Function Using the 2D Fast Fourier Transform

T. Ya. Shevgunov; Шевгунов Т. Я.

doi:10.31857/S0033849423080119

Algorithm for Estimating the Spectral Correlation Function Using the 2D Fast Fourier Transform

Authors: Shevgunov T.Y.¹
Affiliations:
1. Moscow Aviation Institute National Research University
Issue: Vol 68, No 8 (2023)
Pages: 782-789
Section: К 100-ЛЕТИЮ Б.В. СЕСТРОРЕЦКОГО
URL: https://journals.rcsi.science/0033-8494/article/view/138349
DOI: https://doi.org/10.31857/S0033849423080119
EDN: https://elibrary.ru/ZJMCDR
ID: 138349

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Abstract
About the authors
References
Supplementary files
Statistics

Abstract

An algorithm for estimating the spectral correlation function of cyclostationary random processes on the basis of their finite-time realization is proposed. The main algorithm steps are described and the main operations performed at each of them are formalized. The presented estimates of the spectral correlation function in the presence of a correlated stationary noise overlapping the analyzed cyclostationary random process in the frequency domain confirm the efficiency of the algorithm with a low signal-to-noise ratio. The number of required computational operations and the amount of computer memory required for storing intermediate results are estimated.

Keywords

spectral correlation function, cyclostationary random processes, finite-time realization

About the authors

T. Ya. Shevgunov

Moscow Aviation Institute National Research University

Author for correspondence.
Email: shevgunov@gmail.com
Moscow, 125993 Russia

References

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