{"title":"一种不需要相干性的精确全谱测试方法","authors":"Siva Sudani, Degang Chen, R. Geiger","doi":"10.1109/MWSCAS.2012.6292028","DOIUrl":null,"url":null,"abstract":"Achieving coherent sampling to accurately estimate the spectral characteristics of a signal is a very challenging task. Though the Four point sine wave fitting method can be used to accurately estimate some spectral parameters of a non-coherently sampled signal, not all parameters can be estimated accurately. This paper proposes a method that can be used to accurately estimate ALL the spectral characteristics from the spectrum when a signal is not sampled coherently. The non-coherent fundamental and harmonics are accurately identified and replaced with their corresponding coherent signals to achieve accurate results. Simulation results show the effectiveness and robustness of the method.","PeriodicalId":324891,"journal":{"name":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A method for accurate full spectrum testing without requiring coherency\",\"authors\":\"Siva Sudani, Degang Chen, R. Geiger\",\"doi\":\"10.1109/MWSCAS.2012.6292028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Achieving coherent sampling to accurately estimate the spectral characteristics of a signal is a very challenging task. Though the Four point sine wave fitting method can be used to accurately estimate some spectral parameters of a non-coherently sampled signal, not all parameters can be estimated accurately. This paper proposes a method that can be used to accurately estimate ALL the spectral characteristics from the spectrum when a signal is not sampled coherently. The non-coherent fundamental and harmonics are accurately identified and replaced with their corresponding coherent signals to achieve accurate results. Simulation results show the effectiveness and robustness of the method.\",\"PeriodicalId\":324891,\"journal\":{\"name\":\"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)\",\"volume\":\"227 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.2012.6292028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2012.6292028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method for accurate full spectrum testing without requiring coherency
Achieving coherent sampling to accurately estimate the spectral characteristics of a signal is a very challenging task. Though the Four point sine wave fitting method can be used to accurately estimate some spectral parameters of a non-coherently sampled signal, not all parameters can be estimated accurately. This paper proposes a method that can be used to accurately estimate ALL the spectral characteristics from the spectrum when a signal is not sampled coherently. The non-coherent fundamental and harmonics are accurately identified and replaced with their corresponding coherent signals to achieve accurate results. Simulation results show the effectiveness and robustness of the method.