{"title":"Cramer-Rao-Bounds for cross-spectrum measurements of oscillator phase noise","authors":"Michaela Nebel, B. Lankl","doi":"10.1109/EFTF.2012.6502377","DOIUrl":null,"url":null,"abstract":"The cross-spectrum method is one of the best ways to measure the phase noise of an oscillator. Basically, the phase noise of a device-under-test oscillator is measured using two identical measurement circuits each with a reference oscillator which are synchronized by a phase-locked loop. In this paper, the exact Cramer-Rao-Bounds for the estimation of the oscillator phase noise power spectral density are given and efficient estimators are determined using the maximum-likelihood approach. Furthermore, our measurement system is presented where we discuss crucial points in the practical implementation. Finally, several measured results are shown where we also present a possibility to use an a-priori measurement of the system's background noise to improve the measurement precision or to reduce the measurement time.","PeriodicalId":6409,"journal":{"name":"2012 European Frequency and Time Forum","volume":"35 1","pages":"253-259"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 European Frequency and Time Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EFTF.2012.6502377","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
The cross-spectrum method is one of the best ways to measure the phase noise of an oscillator. Basically, the phase noise of a device-under-test oscillator is measured using two identical measurement circuits each with a reference oscillator which are synchronized by a phase-locked loop. In this paper, the exact Cramer-Rao-Bounds for the estimation of the oscillator phase noise power spectral density are given and efficient estimators are determined using the maximum-likelihood approach. Furthermore, our measurement system is presented where we discuss crucial points in the practical implementation. Finally, several measured results are shown where we also present a possibility to use an a-priori measurement of the system's background noise to improve the measurement precision or to reduce the measurement time.