{"title":"A Joint Rapid Parameter Estimate Method of Frequency-Hopping Signals","authors":"Li Zhongjie, Lv Ming","doi":"10.1109/ICCECT.2012.85","DOIUrl":null,"url":null,"abstract":"In this paper, a new joint rapid method is presented, based on fast Fourier transformation (FFT) and multi-windows iterative smoothed pseudo Wigner-Ville distribution (SPWVD) to estimate parameters of frequency-hopping (FH) signals. Firstly, the approximate range including hop timing is searched by segmented FFT, then the both ends of the data segments by multi-windows iterative SPWVD, combining with statistics about the ends to obtain more accurate estimation of the parameters. This method can be easily implemented with lower computation complexity, and making real-time estimation possible. Simulation results show that the method can more rapidly and accurately estimate parameters of FH signals in the low SNR.","PeriodicalId":153613,"journal":{"name":"2012 International Conference on Control Engineering and Communication Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Control Engineering and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCECT.2012.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, a new joint rapid method is presented, based on fast Fourier transformation (FFT) and multi-windows iterative smoothed pseudo Wigner-Ville distribution (SPWVD) to estimate parameters of frequency-hopping (FH) signals. Firstly, the approximate range including hop timing is searched by segmented FFT, then the both ends of the data segments by multi-windows iterative SPWVD, combining with statistics about the ends to obtain more accurate estimation of the parameters. This method can be easily implemented with lower computation complexity, and making real-time estimation possible. Simulation results show that the method can more rapidly and accurately estimate parameters of FH signals in the low SNR.