{"title":"加性未知有色高斯噪声中正弦波的非线性检测方法","authors":"J. Weng","doi":"10.1109/ICITA.2005.36","DOIUrl":null,"url":null,"abstract":"A nonlinear detection structure is systematically developed for sinusoid in additive unknown colored Gaussian noise. The proposed scheme has made use of the difference of the spectral peakedness of the observation data. Nonlinear spectrum estimator is employed to evaluate the peakedness of the spectrum. Simulation results indicate that, in addition to some attractive robust features, the proposed scheme also achieves considerably better performance than the conventional energy detector in terms of the error probabilities.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A nonlinear detection scheme for sinusoid in additive unknown colored Gaussian noise\",\"authors\":\"J. Weng\",\"doi\":\"10.1109/ICITA.2005.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A nonlinear detection structure is systematically developed for sinusoid in additive unknown colored Gaussian noise. The proposed scheme has made use of the difference of the spectral peakedness of the observation data. Nonlinear spectrum estimator is employed to evaluate the peakedness of the spectrum. Simulation results indicate that, in addition to some attractive robust features, the proposed scheme also achieves considerably better performance than the conventional energy detector in terms of the error probabilities.\",\"PeriodicalId\":371528,\"journal\":{\"name\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Information Technology and Applications (ICITA'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITA.2005.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A nonlinear detection scheme for sinusoid in additive unknown colored Gaussian noise
A nonlinear detection structure is systematically developed for sinusoid in additive unknown colored Gaussian noise. The proposed scheme has made use of the difference of the spectral peakedness of the observation data. Nonlinear spectrum estimator is employed to evaluate the peakedness of the spectrum. Simulation results indicate that, in addition to some attractive robust features, the proposed scheme also achieves considerably better performance than the conventional energy detector in terms of the error probabilities.