Lucas de Morais Toledo, J. Villanueva, S. Catunda, R. Freire
{"title":"基于三角分布的最大似然数据融合超声飞行时间估计","authors":"Lucas de Morais Toledo, J. Villanueva, S. Catunda, R. Freire","doi":"10.1109/I2MTC.2014.6860793","DOIUrl":null,"url":null,"abstract":"In this paper, a data fusion proceeding was developed based on the Maximum Likelihood Estimation technique (MLE), considering the variables to be fused, having symmetric triangular probability distributions. This procedure was utilized to the wind speed measurement by means of indirect measure of the ultrasonic time-of-flight (ToF), fusing two independent measurements obtained by threshold detection and phase difference techniques. A computational model was built and simulations with different levels of additive noise and Wind velocities were carried out. The results were satisfactory, evidencing that this technique is quite promissory to instrumentation and measure applications.","PeriodicalId":331484,"journal":{"name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","volume":"145 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ultrasonic time-of-flight estimation based on maximum likelihood data fusion using triangular distribution\",\"authors\":\"Lucas de Morais Toledo, J. Villanueva, S. Catunda, R. Freire\",\"doi\":\"10.1109/I2MTC.2014.6860793\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a data fusion proceeding was developed based on the Maximum Likelihood Estimation technique (MLE), considering the variables to be fused, having symmetric triangular probability distributions. This procedure was utilized to the wind speed measurement by means of indirect measure of the ultrasonic time-of-flight (ToF), fusing two independent measurements obtained by threshold detection and phase difference techniques. A computational model was built and simulations with different levels of additive noise and Wind velocities were carried out. The results were satisfactory, evidencing that this technique is quite promissory to instrumentation and measure applications.\",\"PeriodicalId\":331484,\"journal\":{\"name\":\"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"volume\":\"145 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2MTC.2014.6860793\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2MTC.2014.6860793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ultrasonic time-of-flight estimation based on maximum likelihood data fusion using triangular distribution
In this paper, a data fusion proceeding was developed based on the Maximum Likelihood Estimation technique (MLE), considering the variables to be fused, having symmetric triangular probability distributions. This procedure was utilized to the wind speed measurement by means of indirect measure of the ultrasonic time-of-flight (ToF), fusing two independent measurements obtained by threshold detection and phase difference techniques. A computational model was built and simulations with different levels of additive noise and Wind velocities were carried out. The results were satisfactory, evidencing that this technique is quite promissory to instrumentation and measure applications.