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通过使用近距离传感器和远红外热传感器阵列,提高蓝牙低能耗定位系统的性能

Vitomir Djaja-Josko¹, Marcin Kolakowski¹, Jacek Cichocki¹

¹Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, 00-661 Warsaw, Poland.

Sensors (Basel, Switzerland)

|February 26, 2025

概括

这项研究引入了一种混合定位系统,该系统结合了蓝牙低能 (BLE) 和红外 (IR) 传感器,以提高定位精度. 实验结果显示,这种综合方法可以显著减少定位错误,从而改善跟踪.

科学领域:

机器人和自动化机器人和自动化
传感器融合式传感器
室内定位系统室内定位系统

背景情况:

准确的室内定位仍然是许多应用程序的挑战.
像蓝牙低能耗 (BLE) 这样的现有系统在精度上有局限性.
红外 (IR) 传感器为补充空间数据提供了潜力.

研究的目的:

开发和评估一个混合定位方案,集成BLE和IR传感器.
通过融合来自不同类型传感器的数据来提高室内定位的准确性.
评估红外近距离和热阵列传感器在增强基于BLE的定位方面的有效性.

主要方法:

实现一个混合系统,将BLE与IR近距离 (VL53L5CX) 和热阵列 (MLX90640) 传感器相结合.
红外传感器的独立操作,提供距离和角度数据.
使用基于颗粒过器的算法,融合BLE和IR传感器数据.
拟议的混合本地化方案的实验验证.

主要成果:

红外传感器 (VL53L5CX,MLX90640) 能够以几度的平均精度进行角度估计.
混合系统显示,平均定位误差显著减少,约为几厘米.
成功融合了BLE和IR数据,改善了整体本地化性能.

结论:

结合BLE和IR传感器的混合定位方案比独立系统提供了更高的准确性.
红外传感器,特别是近距离和热阵列,是BLE的宝贵补充,用于精确的定位.
颗粒波器融合有效地将来自不同传感器的数据结合起来,以实现可靠的定位.

关键词:

这就是BLE BLE BLE 角度估计的角度估计.距离测量距离测量混合定位系统是混合定位系统.室内局部化室内局部化颗粒过器的粒子过器接近传感器的近距离传感器热传感器阵列是一个热传感器阵列.

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