Pervasive underwater passive target tracking for the computation of standard deviation solution in a 3D environment
作者机构：Computer Science and EngineeringKoneru Lakshmaiah Education FoundationGunturIndia Electronics and Communications EngineeringKoneru Lakshmaiah Education FoundationGunturIndiaand
出 版 物：《International Journal of Intelligent Computing and Cybernetics》 (智能计算与控制论国际期刊（英文）)
年 卷 期：2021年第14卷第4期
页 面：580-597页
核心收录：
学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
主 题：Unscented Kalman filter Underwater target tracking Acceptance criteria Three-dimensional target tracking Standard deviation
摘 要：Purpose-Nowadays advancement in acoustic technology can be explored with marine *** purpose of the paper is pervasive computing underwater target tracking has aroused military and civilian interest as a key component of ocean *** many pervasive techniques are currently found in the literature,there is little published research on the effectiveness of these paradigms in the target tracking ***/methodology/approach-The unscented Kalman filter(UKF)provides good results for bearing and elevation angles only *** methodology and mathematical modeling are carried out and used to analyze the performance of the filter based on the Monte Carlo ***-Due to the intricacy of maritime surroundings,tracking underwater targets using acoustic signals,without knowing the range parameter is *** intention is to find out the solution in terms of standard deviation in a three-dimensional(3D)***/value-A new method is found for the acceptance criteria for range,course,speed and pitch based on the standard deviation for bearing and elevation 3D target tracking using the unscented Kalman filter covariance *** the Monte Carlo simulation,several scenarios are used and the results are shown.
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