OCP based decentralized data fusion for Autonomous Underwater Vehicles

N. Syahroni
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引用次数: 1

Abstract

In this paper, an online decentralized multisensor data fusion algorithm facilitated by middleware networked using CORBA event channel is proposed, in order to deal with simplifying problem in sensor registration and fusion for vehicle state estimation. The networked based navigation concept for Autonomous Underwater Vehicle (AUV) using several sensors is presented. A simulation of various application scenarios are considered by choosing several parameters of UKF, i.e. weighting constant for sigma points and square root matrix. Normalized mean-square error (MSE) of Monte Carlo simulations are computed and reported in the simulation results. Furthermore, the middleware infrastructure based on Open Control Platform (OCP) to support the interconnection between the whole filter structures also reported.
基于OCP的自主水下航行器分散数据融合
为了解决车辆状态估计中传感器配准与融合的简化问题,提出了一种基于CORBA事件通道的中间件在线分散多传感器数据融合算法。提出了基于多传感器的自主水下航行器(AUV)网络导航概念。通过选择UKF的几个参数,即sigma点的权重常数和平方根矩阵,考虑了各种应用场景的模拟。计算了蒙特卡罗模拟的归一化均方误差(MSE),并在模拟结果中给出了结果。此外,还介绍了基于开放控制平台(OCP)的中间件基础结构,以支持整个滤波器结构之间的互连。
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