Research And Analysis On Indoor Human Localization System With Microwave

With the advent of the Internet+ era,the demands for location-based services are increasing,and indoor positioning technology,which is one of the fundamental technologies of the Internet of Everything,has received more attention in recent years.The microwave indoor positioning technology is a technology that uses the whole or part of the microwave signal characteristics to detect a target position in a room.Among them,Frequency Modulated Continuous Wave(FMCW)positioning technology has received extensive attention for its relatively simple structure,small size,and high precision,especially for indoor close-range positioning.This thesis applied the FMCW positioning technology and designs an indoor microwave positioning system to track a human body in the indoor environment.The thesis introduces the indoor channel model and the conventional positioning algorithms.Based on them,the thesis presents the existing indoor positioning technologies.With further analysis of the specific environmental conditions in a room and mitigation of the effects of indoor static objects on the accuracy of the positioning system,the thesis optimize the algorithm that filter out the background noise and proposes a method to update a static spectrum after the static environment changes.Through the analysis of the inherent accuracy of the FMCW positioning system,the thesis presents a new correction algorithm is optimized that improves system positioning accuracy.In hardware implementation,the FMCW signal source is constructed with the fractional-N phase-locked loop frequency synthesizer.The USRP platform is selected as the data processing platform.Finally,a prototype of the indoor microwave positioning and tracking system was developed.The developed prototype is then put into a real test.The algorithm that filter out background noises and the correction algorithm that improves the positioning accuracy are tested in a typical office environment.The average distance error is found to be 24.61 cm,which verifies the correctness of the positioning algorithms proposed in this paper.