{"title":"基于Kolmogorov方法的海面接收信号波形重建","authors":"Jiaxin Yao, Tao Jiang, Bin Cao","doi":"10.1109/USNC-URSI.2018.8602722","DOIUrl":null,"url":null,"abstract":"It is analyzed the reconstruction performance of time domain waveform received on the sea surface depending only on the data of frequency amplitude spectrum by using Kolmogorov method. The basic reconstruction theory is introduced briefly and the comparison between signal waveform before and after reconstruction is provided based on simulation together with feature selective verification rules.","PeriodicalId":203781,"journal":{"name":"2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reconstruction of Signal Waveform Received on Sea Surface Based on Kolmogorov Method\",\"authors\":\"Jiaxin Yao, Tao Jiang, Bin Cao\",\"doi\":\"10.1109/USNC-URSI.2018.8602722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is analyzed the reconstruction performance of time domain waveform received on the sea surface depending only on the data of frequency amplitude spectrum by using Kolmogorov method. The basic reconstruction theory is introduced briefly and the comparison between signal waveform before and after reconstruction is provided based on simulation together with feature selective verification rules.\",\"PeriodicalId\":203781,\"journal\":{\"name\":\"2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/USNC-URSI.2018.8602722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/USNC-URSI.2018.8602722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reconstruction of Signal Waveform Received on Sea Surface Based on Kolmogorov Method
It is analyzed the reconstruction performance of time domain waveform received on the sea surface depending only on the data of frequency amplitude spectrum by using Kolmogorov method. The basic reconstruction theory is introduced briefly and the comparison between signal waveform before and after reconstruction is provided based on simulation together with feature selective verification rules.
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