{"title":"Application of 4th-order spectrum slice in Doppler information processing of OTH radar","authors":"Wang Jingren, Zhang Ning","doi":"10.1109/ICR.2001.984846","DOIUrl":null,"url":null,"abstract":"In the application of high frequency ground wave over-the-horizon radar systems, a new method is presented to extract the range and Doppler information from the radar echo. The paper is based on higher-order statistics (HOS). It only requires calculating the slice of higher-order statistics, and eliminates the calculation of multi-dimensional Fourier transforms. Therefore it requires less computational complexity. At the same time, because higher order statistics can greatly suppress the additive Gaussian noise, it possesses improved performance. For comparison purposes, some simulations, adopting the new method and the classical power spectrum estimation respectively, are introduced. The results show that the new method can effectively extract the range and velocity information of a moving object.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the application of high frequency ground wave over-the-horizon radar systems, a new method is presented to extract the range and Doppler information from the radar echo. The paper is based on higher-order statistics (HOS). It only requires calculating the slice of higher-order statistics, and eliminates the calculation of multi-dimensional Fourier transforms. Therefore it requires less computational complexity. At the same time, because higher order statistics can greatly suppress the additive Gaussian noise, it possesses improved performance. For comparison purposes, some simulations, adopting the new method and the classical power spectrum estimation respectively, are introduced. The results show that the new method can effectively extract the range and velocity information of a moving object.