在被动室内定位系统中的一些设计考虑因素
Jimmy Engström1,2, Åse Jevinger2, Carl Magnus Olsson2
1Sony Europe B.V., 223 62 Lund, Sweden.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
使用客户端计算的被动室内定位系统可以提供准确的位置跟踪,而不会影响用户的隐私. 这些系统利用多边化和传感器融合,为传统的基于云计算的指纹采集方法提供了可行的替代方案.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 地理学工程 工程地质学
背景情况:
- 室内定位对于基于位置的服务至关重要,但由于信号色而面临挑战.
- 目前的方法,如位置指纹,通常依赖于基于云计算的计算,引发隐私问题.
- 用户隐私至关重要,需要探索替代定位策略.
研究的目的:
- 调查被动室内定位系统与客户端计算的可行性.
- 将被动系统的准确性和隐私影响与传统的指纹采集方法进行比较.
- 确定客户端计算是否可以在不损害用户隐私的情况下实现准确的室内定位.
主要方法:
- 开发和评估了两个被动室内定位系统:一个基于多边化,另一个使用与无气味卡尔曼波器 (UKF) 的传感器融合.
- 将这些被动系统的性能与基于指纹的标准方法进行了比较.
- 在繁忙的办公室环境中进行实验,以评估现实世界的适用性.
主要成果:
- 被动室内定位系统在复杂的办公环境中证明了准确的位置确定.
- 提出的客户端计算方法有效地解决了与服务器端处理相关的隐私问题.
- 与UKF的多元化和传感器融合证明了被动室内定位的有效性.
结论:
- 带有客户端计算的被动室内定位系统可以成功地取代传统的指纹方法.
- 在不依赖基于云的服务器的情况下,可以实现准确且保护隐私的室内本地化.
- 这项研究为开发安全高效的室内定位服务提供了有前途的方向.
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