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Application of Matrix Pencil Algorithm to Mobile Robot Localization Using Hybrid DOA/TOA Estimation

机译:矩阵铅笔算法在混合DOA / TOA估计中在移动机器人定位中的应用

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Localization plays an important role in robotics for the tasks of monitoring, tracking and controlling a robot. Much effort has been made to address robot localization problems in recent years. However, despite many proposed solutions and thorough consideration, in terms of developing a low-cost and fast processing method for multiple-source signals, the robot localization problem is still a challenge. In this paper, we propose a solution for robot localization with regards to these concerns. In order to locate the position of a robot, both the coordinate and the orientation of a robot are necessary. We develop a localization method using the Matrix Pencil (MP) algorithm for hybrid detection of direction of arrival (DOA) and time of arrival (TOA). TOA of the signal is estimated for computing the distance between the mobile robot and a base station (BS). Based on the distance and the estimated DOA, we can estimate the mobile robot's position. The characteristics of the algorithm are examined through analys...
机译:本地化在机器人技术中起着监视,跟踪和控制机器人任务的重要作用。近年来,为解决机器人本地化问题做出了很多努力。然而,尽管提出了许多解决方案并进行了全面考虑,但是在开发一种低成本,快速处理多源信号的方法方面,机器人定位问题仍然是一个挑战。在本文中,我们针对这些问题提出了一种机器人定位解决方案。为了定位机器人的位置,机器人的坐标和方向都是必需的。我们开发了一种使用矩阵铅笔(MP)算法的定位方法,用于混合检测到达方向(DOA)和到达时间(TOA)。估计信号的TOA以便计算移动机器人和基站(BS)之间的距离。根据距离和估计的DOA,我们可以估计移动机器人的位置。通过分析检查算法的特征...

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