School of Electronics Engineering, Chungbuk National University, Chungbuk 28644, Korea.
Sensors (Basel). 2018 Nov 16;18(11):3987. doi: 10.3390/s18113987.
Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoor environments. Typical indoor localization methods use the time of arrival, angle of arrival, or the strength of the wireless communication signal to determine the location. In this paper, we propose an indoor localization scheme using signal strength that can be easily implemented in a smartphone. The proposed algorithm uses a trilateration method to estimate the position of the smartphone. The accuracy of the trilateration method depends on the distance estimation error. We first determine whether the propagation path is line-of-sight (LOS) or non-line-of-sight (NLOS), and distance estimation is performed accordingly. This LOS and NLOS identification method decreases the distance estimation error. The proposed algorithm is implemented as a smartphone application. The experimental results show that distance estimation error is significantly reduced, resulting in accurate localization.
精确的定位技术对于提供基于位置的服务至关重要。全球定位系统（GPS）是一种典型的定位技术，已在各个领域得到应用。然而，由于在室内环境中无法接收 GPS 信号，因此需要各种室内定位技术。典型的室内定位方法使用到达时间、到达角或无线通信信号的强度来确定位置。在本文中，我们提出了一种使用信号强度的室内定位方案，该方案可以在智能手机中轻松实现。所提出的算法使用三边测量法来估计智能手机的位置。三边测量法的精度取决于距离估计误差。我们首先确定传播路径是视距（LOS）还是非视距（NLOS），并相应地进行距离估计。这种 LOS 和 NLOS 识别方法可降低距离估计误差。所提出的算法被实现为智能手机应用程序。实验结果表明，距离估计误差显著减小，从而实现了精确的定位。
