CSI human body tumble identification method in WiFi interference environment

An identification method and environment technology, applied in the field of wireless communication, can solve the problems of reduced WiFi fall identification performance, adjacent channel interference, and inability to sense applications.

Active Publication Date: 2020-06-02
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, with the widespread use of WiFi devices in daily life, there are often serious co-channel interference or adjacent channel interference problems between WiFi signals, which will greatly reduce the performance of WiFi fall recognition.
Most of the existing research ignores the interference between WiFi signals, and only uses general signal processing technolog...

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  • CSI human body tumble identification method in WiFi interference environment
  • CSI human body tumble identification method in WiFi interference environment
  • CSI human body tumble identification method in WiFi interference environment

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Embodiment Construction

[0119] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0120] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a human body tumble identification method based on WIFI CSI dynamic subcarrier selection in a WiFi interference environment, and belongs to the technical field of wireless communication. The method comprises the following steps: firstly, analyzing CSI interference intensity and a CSI active ratio, constructing a WiFi interference characteristic mapping matrix, and calculating each channel interference index by using the matrix to realize interference discrimination; and then, through a dynamic subcarrier selection algorithm CSI-DSSA based on an interference index, selecting a subcarrier combination with the weakest cross correlation in the interference data to carry out interference processing, and analyzing time domain feature information of multiple data streamsin uninterfered data aggregated by a multi-link data fusion method CSI-MLDF; and finally, extracting a time domain characteristic value and constructing an SVM multi-activity classification model in aWiFi interference environment to obtain a tumble activity identification result. According to the invention, the human body tumble activity identification accuracy in the WiFi interference environment can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a human fall recognition method for WIFICSI dynamic subcarrier selection in a WiFi interference environment. Background technique [0002] With the continuous development of science and technology, especially the gradual maturity of wireless network technology, wireless signals not only play an important role in data transmission, but also can be used to realize environmental awareness. Using wireless signals to realize autonomous activity monitoring has become a development At the same time, it provides a new solution for the activity and health monitoring of the elderly in the home environment, which has very important social significance and broad application prospects. Human activity monitoring based on WiFi is user-centered, using the influence of human body movements on the propagation of WiFi signals to collect physiological information of the human body, incl...

Claims

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Application Information

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IPC IPC(8): H04W4/33G06K9/00
CPCH04W4/33G06F2218/08G06F2218/12
Inventor 谢昊飞罗云霄周义超郭小沨陈新月张银杰王佳昕
Owner CHONGQING UNIV OF POSTS & TELECOMM
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