In the Internet of Things (IoT), the requirements for person localization and monitoring are getting higher and higher. The accuracy of the positioning is increasingly important as Location Based Service (LBS) are developing more and more quickly. Indoor person localization technologies have attracted widespread attention. Nowadays, more and more technologies are used in indoor person localization system. Earlier techniques required people to wear devices that sent signals, such as infrared light or ultrasonic waves, to allow the system to localize the human body through cooperative processing of receiver devices installed in the monitored space. However, these techniques have many limitations, such as the cost of the wearable devices for monitoring many persons, and in some cases, or discomfort or other problems related to wearing a device (e.g., forgetting, interference with specific activities, or psychological effects of a constant reminder of being monitored).