Y. Averyanova, V. Larin, N. Kuzmenko, I. Ostroumov, M. Zaliskyi, O. Solomentsev, O. Sushchenko, Y. Bezkorovainyi
{"title":"Turbulence Detection and Classification Algorithm Using Data from AWR","authors":"Y. Averyanova, V. Larin, N. Kuzmenko, I. Ostroumov, M. Zaliskyi, O. Solomentsev, O. Sushchenko, Y. Bezkorovainyi","doi":"10.1109/UkrMW58013.2022.10037172","DOIUrl":null,"url":null,"abstract":"In this paper the approach to detect atmospheric turbulence using the polarization feature of reflected from liquid hydrometeors signal is analyzed. The information about the presence of turbulence is retrieved from the character of the variation of the low-frequency component reflected from liquid hydrometeor radiosignal. The algorithm of turbulence detection is developed as a decision of the problem of the presence of turbulence of different intensities against the alternatives. The next step of the algorithm is an approach to make aircraft dependent turbulence intensity classification and the algorithm of turbulence detection and classification is proposed. Keywords-meteorological radar, turbulence, aviation, polarization, polarimetry, hydrometeor, radar reflections, radar signal envelope, flight safety","PeriodicalId":297673,"journal":{"name":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd Ukrainian Microwave Week (UkrMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UkrMW58013.2022.10037172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper the approach to detect atmospheric turbulence using the polarization feature of reflected from liquid hydrometeors signal is analyzed. The information about the presence of turbulence is retrieved from the character of the variation of the low-frequency component reflected from liquid hydrometeor radiosignal. The algorithm of turbulence detection is developed as a decision of the problem of the presence of turbulence of different intensities against the alternatives. The next step of the algorithm is an approach to make aircraft dependent turbulence intensity classification and the algorithm of turbulence detection and classification is proposed. Keywords-meteorological radar, turbulence, aviation, polarization, polarimetry, hydrometeor, radar reflections, radar signal envelope, flight safety
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