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A genetic algorithm-based approach to calculate the optimal configuration of ultrasonic sensors in a 3D position estimation system

机译:基于遗传算法的3D位置估计系统中超声波传感器最佳配置的计算方法

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This paper provides a genetic algorithm-based approach to calculate the optimal placement of receivers in a novel 3D position estimation system that uses a single transmitter and multiple receivers. The novelty in the system is the use of the difference in the times of arrival (TOAs) of an ultrasonic wave from the transmitter to the different receivers fixed in 3D space. This is a different approach to traditional systems that use the actual times of flight (TOFs) from the transmitter to the different receivers and triangulate the position of the transmitter. The new approach makes the system more accurate, makes the transmitter independent of the receivers and does not require the need of calculating the time delay term that is inherent in traditional systems due to delays caused by the electronic circuitry. This paper presents a thorough analysis of receiver configurations in the 2D and 3D systems that lead to singularities, i.e. locations of receivers that lead to formulations that cannot be solved due to a shortage of information. It provides guidelines of where not to place receivers so as to get a robust system, and further, presents a detailed analysis of locations that are optimal, i.e. locations that lead to the most accurate estimation of the transmitter positions. The results presented in this paper are not only applicable to ultrasonic systems but all systems that use wave theory, e.g. infrared, laser, etc. This work finds applications in virtual reality cells, robotics, guidance of indoor autonomous vehicles and vibration analysis.
机译:本文提供了一种基于遗传算法的方法来计算使用单个发送器和多个接收器的新型3D位置估计系统中接收器的最佳位置。该系统的新颖之处在于利用了超声波从发射器到固定在3D空间中的不同接收器的到达时间(TOA)的差异。对于使用从发射机到不同接收机的实际飞行时间(TOF)并对发射机的位置进行三角测量的传统系统,这是一种不同的方法。新方法使系统更加精确,使发送器独立于接收器,并且不需要计算由于电子电路引起的延迟而在传统系统中固有的时间延迟项。本文对2D和3D系统中导致奇异性的接收器配置进行了全面分析,即导致接收器位置因信息不足而导致无法求解的公式。它提供了在何处不放置接收器的指南,以获得一个强大的系统,并且进一步介绍了最佳位置的详细分析,即导致对发射器位置进行最准确估计的位置。本文介绍的结果不仅适用于超声系统,而且适用于所有使用波动理论的系统,例如红外,激光等。这项工作可用于虚拟现实单元,机器人技术,室内自动驾驶车辆的引导以及振动分析。

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