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Optimal configuration of ultrasonic sensors in a 3D position estimation system using genetic algorithms

机译:遗传算法3D位置估计系统超声传感器的最佳配置

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This paper provides a genetic algorithm based approach to calculate the optimal placement of receivers in a 3D position estimation system that uses the difference in the time-of-arrivals (TOA) of an ultrasonic wave from a transmitter to the different receivers fixed in 3D space. This is a different approach to traditional systems that use the actual time-of-flights (TOF) 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 system that lead to singularities, i.e. locations of receivers that lead to formulations that can not be solved due to a shortage of information. It provides guidelines of where not to place receivers, 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3D位置估计系统中的接收器的最佳位置,其使用来自发送器到3D空间中的不同接收器的超声波的到达时间差的差异(TOA)的差异。这是传统系统的不同方法,该系统使用从发射机到不同接收器的实际飞行时间(TOF)并将发射器的位置三角形。新方法使系统更加准确,使得发射器独立于接收器,并且不需要计算由于电子电路引起的延迟导致传统系统中固有的时间延迟项。本文介绍了2D和3D系统中的接收器配置的彻底分析,导致奇点,即导致无法通过信息短缺而无法解决的制剂的接收器的位置。它提供了不放置接收器的途中的准则,并进一步提出了对最佳位置的详细分析,即导致发射器位置最准确估计的位置。本文提出的结果不仅适用于超声波系统,而是使用波理论的所有系统,例如,这项工作在虚拟现实细胞,机器人,室内自主车辆和振动分析中找到了应用中的应用。

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