When developing a Wi-Fi indoor positioning system in a real-world environment, the problems we have to face are that some access points’ signal strength fluctuates extensively or even loses contact due to the cybersecurity threats, leading to the fact that the indoor location system cannot get reliable application in a real-world environment. To solve this problem, we propose a new integrated model based on signal anomaly detector and signal distance corrector to provide reliable position estimation when the access points’ signal is lost under cybersecurity threats. The signal anomaly detector improves recognition capability of the uncertain signal and noise, while the signal distance corrector improves the robustness and fault tolerance of the highly variable Wi-Fi signals. To fully reflect the performance of the proposed method, experiments have been carried out in the real environment of indoor parking lots. The results show that the proposed integrated model successfully provides reliable position estimation when the access points are lost under cybersecurity threats.

中文翻译：

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基于信号异常检测器和信号距离校正器的集成模型在AP丢失情况下可靠的Wi-Fi室内定位

在实际环境中开发 Wi-Fi 室内定位系统时，我们不得不面对的问题是，由于网络安全威胁，一些接入点的信号强度波动很大甚至失去联系，导致室内定位系统无法在现实环境中得到可靠的应用。为了解决这个问题，我们提出了一种基于信号异常检测器和信号距离校正器的新集成模型，以在网络安全威胁下接入点的信号丢失时提供可靠的位置估计。信号异常检测器提高了对不确定信号和噪声的识别能力，而信号距离校正器提高了高度可变的Wi-Fi信号的鲁棒性和容错性。为了充分反映所提出方法的性能，在室内停车场的真实环境中进行了实验。结果表明，当接入点在网络安全威胁下丢失时，所提出的集成模型成功地提供了可靠的位置估计。