Behavior Analysis of Education Robot Scenario Based on WiFi Fingerprint Indoor Positioning Environment

Abstract

Communication positioning has a significant application in modern life. The positioning of communication terminals is divided into two categories: outdoor localization and indoor localization. At present, many researchers are limited to the pursuit of positioning accuracy, so they rarely carry out a comprehensive study, such as the positioning objects, environmental construction and data acquisition etc., which leads to a reduction in the value of the applications. In the paper, our research object is based on the education robot, whose active scenario is indoor, using WiFi fingerprint positioning technology, Aps layout and RSS data acquisition and process under the offline environment, which facilitates the further research about online stage in the later. In the study, the APs were arranged in a regular hexagonal honeycomb, rational use and clustering signals, which solves the strong interference between APs and improves the usability of the signals.