电磁定位系统中周耦合交流信号提取的改进粒子群算法

Wenhu Wang, Chao Hu, Weixing Lin, Jianmeng Bao
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引用次数: 5

摘要

交流电磁定位方法常用于定位移动机器人或车辆等目标的位置。由于定位算法通过耦合信号的强度或相位来确定目标的位置和方向,因此必须提取源和接收线圈之间的耦合磁信号。这种提取必须准确,以保证定位精度。然而,这些耦合电压信号非常微弱,容易受到干扰,因此高效、鲁棒的提取方法至关重要。在本文中,我们提出了快速粒子群优化算法(PSO)来精确提取这种耦合信号。通过仿真和比较,我们发现粒子群算法比最小二乘(LS)方法具有更高的精度和更快的速度,特别是在高噪声情况下。仿真结果令人满意,可以提取耦合电压信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved PSO-based algorithm for extracting week coupling AC signal in electromagnetic localization system
The AC electromagnetic localization method is often used to locate the position of the objective such as the moving robot or vehicle. This technique must extract the coupling magnetic signals between the source and the receiving magnetic coils, because the localization algorithm determines objective's position and orientation by the intensities or the phases of the coupling signals. This extraction must be accurate to ensure the localization precision. However, these couplings voltage signals are very week and easily affected by interferences, so high efficient and robust extraction method is essential. In this paper, we present rapid particle swarm optimization (PSO) algorithm to accurately extract this coupling signal. Through the simulation and serious comparisons, we found that PSO algorithm has higher accuracy and faster speed than the least square (LS) method, especially in cases with high noises. We show the simulation results that are satisfactory to extract the coupling voltage signals.
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