Personnel trajectory tracking method based on CSI (Channel State Information)

Abstract

The invention provides a personnel trajectory tracking method based on CSI (Channel State Information). CSI signal values are extracted. A position of the maximum value of a spectrum function represents the highest point of an image. Element carrier frequency and propagation velocity of signals are known, so Doppler velocity can be obtained. Redundant point removal is carried out on obtained active points through adoption of a smoothing algorithm. Positions of the active points are determined through utilization of an improved trilateral positioning algorithm based on the least square method.Whether a structure algorithm is in a reference range or not is judged. If the structure algorithm is in the reference range, the obtained points in an active range are processed. Enough points are collected for simulation of trajectories of personnel in a room. According to the trajectory tracking method, all active points of the indoor personnel are drawn into a trajectory image and are visuallydisplayed, and the relatively accurate tracking and positioning of the indoor personnel is realized.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things and relates to a tracking method, in particular to a CSI-based personnel trajectory tracking method. Background technique [0002] As an important part of ubiquitous computing and the Internet of Things, positioning technology has received more and more attention. The Global Navigation Satellite System (GNSS) plays a key role in outdoor precise positioning, but in the indoor environment, due to the multipath effect, scattering, and diffraction characteristics of the signal during the propagation process, GNSS makes it It can no longer take advantage of its high-precision positioning. At present, the research on positioning technology based on CSI has achieved certain results, even reaching the positioning accuracy of meter level or sub-meter level. [0003] Since 2010, universities such as Massachusetts Institute of Technology, Stanford University, University of Washington, Hong K...

AI Technical Summary

Problems solved by technology

In the actual environment, affected by the multipath effect, it is difficult to realize

In addition, many acoustic solutions have been proposed for gesture recognition and gesture tracking, which typically exploit Doppler shift in the acoustic frequency band and utilize inertial sensors such as accelerometers and gyroscopes to further improve accuracy, but do not address multipath effects Effect on Gesture Recognition Effect

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