Research and Application of Indoor Positioning Method Based on Fixed Infrared Beacon

Abstract

Among various indoor positioning methods, WiFi, UWB, Zigbee, etc. are highly valued, but due to factors such as indoor building or self-stability, there are often problems such as inaccurate positioning coordinates and positional coordinate drift in practical applications. In order to improve indoor positioning accuracy and stability and solve the problem of excessive drift in measurement coordinate information, an indoor positioning method based on fixed infrared coordinates and a real-time location K-time grouping algorithm are proposed. The method takes the infrared fixed beacon as the reference point, uses the camera on the car pan-tilt to measure the tag, and calculates the real-time positioning coordinate height according to the angle difference between the horizontal direction and the vertical direction after rotation and the height h of the fixed beacon. The algorithm firstly classifies the car's walking positioning model into K groups to eliminate floating before and after positioning; Secondly, the x-coordinate information and the y-coordinate information of the analysis trolley are respectively obtained by the system to measure the characteristic value γ = [γ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> γ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</sub> ] <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sup> of the two angle sensors. The simulation verifies that this method can effectively deal with drift and outliers in positioning data.