{"title":"固定翼飞机声信号的探测与分类","authors":"C. Stewart, V. Larson","doi":"10.1109/ICSYSE.1991.161073","DOIUrl":null,"url":null,"abstract":"The acoustic emission from a twin propeller aircraft is analyzed in the frequency domain. The time-varying power spectrum estimate of the signal is generated. The approach is to generate frequency spectra for fixed time segments of the signal using the Welch method. A confidence interval is calculated, and if the confidence interval is too wide, the power spectrum estimate is not incorporated into the detection decision. The spectral peaks in the power spectrum estimate are identified by thresholding with a local mean. An algorithm to detect and classify the aircraft based on these spectral peaks is proposed.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"03 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Detection and classification of acoustic signals from fixed-wing aircraft\",\"authors\":\"C. Stewart, V. Larson\",\"doi\":\"10.1109/ICSYSE.1991.161073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The acoustic emission from a twin propeller aircraft is analyzed in the frequency domain. The time-varying power spectrum estimate of the signal is generated. The approach is to generate frequency spectra for fixed time segments of the signal using the Welch method. A confidence interval is calculated, and if the confidence interval is too wide, the power spectrum estimate is not incorporated into the detection decision. The spectral peaks in the power spectrum estimate are identified by thresholding with a local mean. An algorithm to detect and classify the aircraft based on these spectral peaks is proposed.<<ETX>>\",\"PeriodicalId\":250037,\"journal\":{\"name\":\"IEEE 1991 International Conference on Systems Engineering\",\"volume\":\"03 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 1991 International Conference on Systems Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSYSE.1991.161073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1991 International Conference on Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSYSE.1991.161073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection and classification of acoustic signals from fixed-wing aircraft
The acoustic emission from a twin propeller aircraft is analyzed in the frequency domain. The time-varying power spectrum estimate of the signal is generated. The approach is to generate frequency spectra for fixed time segments of the signal using the Welch method. A confidence interval is calculated, and if the confidence interval is too wide, the power spectrum estimate is not incorporated into the detection decision. The spectral peaks in the power spectrum estimate are identified by thresholding with a local mean. An algorithm to detect and classify the aircraft based on these spectral peaks is proposed.<>
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