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

作者: Shevgunov T.¹
隶属关系:
1. Moscow Aviation Institute National Research University
期: 卷 68, 编号 8 (2023)
页面: 782-789
栏目: 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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详细
作者简介
参考
补充文件
统计

详细

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.

关键词

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

作者简介

T. Shevgunov

Moscow Aviation Institute National Research University

编辑信件的主要联系方式.
Email: shevgunov@gmail.com
Moscow, 125993 Russia

参考

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