{"title":"Widely Linear System Estimation with Zero Complementary Autocorrelation Sequences","authors":"I. A. Arriaga-Trejo, A. Orozco-Lugo","doi":"10.1109/spawc51304.2022.9834033","DOIUrl":null,"url":null,"abstract":"In this paper, the identification of widely linear (WL) systems using sequences with an impulse-like periodic autocorrelation and a zero complementary periodic autocorrelation is addressed. Closed form expressions for sequences with unitary peak to average power ratio (PAPR) suited for the identification of these systems are presented. The analysis shows that the filter impulse responses of the WL system can be estimated from the second order statistics of the system output and the probing sequence. Numerical simulations are provided to verify the variance of the estimation error.","PeriodicalId":423807,"journal":{"name":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/spawc51304.2022.9834033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, the identification of widely linear (WL) systems using sequences with an impulse-like periodic autocorrelation and a zero complementary periodic autocorrelation is addressed. Closed form expressions for sequences with unitary peak to average power ratio (PAPR) suited for the identification of these systems are presented. The analysis shows that the filter impulse responses of the WL system can be estimated from the second order statistics of the system output and the probing sequence. Numerical simulations are provided to verify the variance of the estimation error.
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