J. Villanueva, S. Catunda, R. Freire, Maxwell M. Costa, Nestor S. Castro Ingaroca
{"title":"基于扩展卡尔曼滤波飞行时间估计的风速测量","authors":"J. Villanueva, S. Catunda, R. Freire, Maxwell M. Costa, Nestor S. Castro Ingaroca","doi":"10.1109/I2MTC.2013.6555600","DOIUrl":null,"url":null,"abstract":"This paper presents the procedures for the wind speed measurement using ultrasonic transducers. The wind speed measurement is based on the time-of-flight (ToF) ultrasonic estimation that has been estimated using the Extended Kalman Filter (EKF) algorithm. For this purpose it was developed the dynamic system model in state space and was analyzed the convergence of the EKF algorithm. Simulation results are presented considering the presence of additive Gaussian noise.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Wind speed measurement based on time-of-flight estimation using Extended Kalman Filter\",\"authors\":\"J. Villanueva, S. Catunda, R. Freire, Maxwell M. Costa, Nestor S. Castro Ingaroca\",\"doi\":\"10.1109/I2MTC.2013.6555600\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the procedures for the wind speed measurement using ultrasonic transducers. The wind speed measurement is based on the time-of-flight (ToF) ultrasonic estimation that has been estimated using the Extended Kalman Filter (EKF) algorithm. For this purpose it was developed the dynamic system model in state space and was analyzed the convergence of the EKF algorithm. Simulation results are presented considering the presence of additive Gaussian noise.\",\"PeriodicalId\":432388,\"journal\":{\"name\":\"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC.2013.6555600\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2013.6555600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wind speed measurement based on time-of-flight estimation using Extended Kalman Filter
This paper presents the procedures for the wind speed measurement using ultrasonic transducers. The wind speed measurement is based on the time-of-flight (ToF) ultrasonic estimation that has been estimated using the Extended Kalman Filter (EKF) algorithm. For this purpose it was developed the dynamic system model in state space and was analyzed the convergence of the EKF algorithm. Simulation results are presented considering the presence of additive Gaussian noise.
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