V. Tykhonov, N. Kudriavtseva, K. Netrebenko, P. Chmelar
{"title":"The non-Gaussian signals' spectra estimation against a background of Gaussian correlated interference","authors":"V. Tykhonov, N. Kudriavtseva, K. Netrebenko, P. Chmelar","doi":"10.1109/RADIOELEK.2015.7129067","DOIUrl":null,"url":null,"abstract":"The higher orders spectra analysis for non-Gaussian process spectrum estimation in the mix with Gaussian correlated interference are studied in the paper. The received expressions for parametric spectral estimation of higher orders are used for non-Gaussian processes spectra estimation that can be described by generic autoregressive models. The comparative analysis of the received parametric spectral third order estimations with similar estimations calculated using known methods based on Fourier transform was made.","PeriodicalId":193275,"journal":{"name":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2015.7129067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The higher orders spectra analysis for non-Gaussian process spectrum estimation in the mix with Gaussian correlated interference are studied in the paper. The received expressions for parametric spectral estimation of higher orders are used for non-Gaussian processes spectra estimation that can be described by generic autoregressive models. The comparative analysis of the received parametric spectral third order estimations with similar estimations calculated using known methods based on Fourier transform was made.