{"title":"基于周期图的高频多普勒雷达海面遥感一阶功率谱密度推导","authors":"R. Shahidi, E. Gill","doi":"10.23919/URSIGASS.2017.8105385","DOIUrl":null,"url":null,"abstract":"In the Ph.D. thesis of Gill, the author determines the power spectral density per unit area by finding the auto-correlation of the received voltage assuming a certain number of scatters, and then taking its Fourier transform. Here, we instead find the power spectral density using Welch's periodogram approach, where we take the Fourier transform of the expression for the received voltage, and equate the power spectral density to the expected value of the squared-magnitude of this transform. This simplifies the analysis, and leads to new insights about the first-order Bragg peaks.","PeriodicalId":377869,"journal":{"name":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Periodogram-based derivation of first-order power spectral density from remote sensing of the ocean surface by HF-Doppler radar\",\"authors\":\"R. Shahidi, E. Gill\",\"doi\":\"10.23919/URSIGASS.2017.8105385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the Ph.D. thesis of Gill, the author determines the power spectral density per unit area by finding the auto-correlation of the received voltage assuming a certain number of scatters, and then taking its Fourier transform. Here, we instead find the power spectral density using Welch's periodogram approach, where we take the Fourier transform of the expression for the received voltage, and equate the power spectral density to the expected value of the squared-magnitude of this transform. This simplifies the analysis, and leads to new insights about the first-order Bragg peaks.\",\"PeriodicalId\":377869,\"journal\":{\"name\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIGASS.2017.8105385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIGASS.2017.8105385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Periodogram-based derivation of first-order power spectral density from remote sensing of the ocean surface by HF-Doppler radar
In the Ph.D. thesis of Gill, the author determines the power spectral density per unit area by finding the auto-correlation of the received voltage assuming a certain number of scatters, and then taking its Fourier transform. Here, we instead find the power spectral density using Welch's periodogram approach, where we take the Fourier transform of the expression for the received voltage, and equate the power spectral density to the expected value of the squared-magnitude of this transform. This simplifies the analysis, and leads to new insights about the first-order Bragg peaks.