一种无监督人体检测与定位的方法

Unsupervised human detecting and positioning method

Abstract

The invention relates to an unsupervised human detecting and positioning method. The method includes the steps that a transmitter transmits signals, and the signals pass through a monitoring area and are received by a receiver; channel state information data are collected in real time, subcarrier amplitudes of all data in a sliding time window are averaged to obtain a vector containing the average of all the subcarrier amplitudes, and the vector serves as the signal characteristic; the signal characteristic of the detection signals is extracted from the sliding window, the correlation between the detection signal characteristic and the static standard signal characteristic is calculated, if the correlation received by all receiver antennas is larger than a set threshold value, it shows that the human body appears in the monitoring area, the position of the human body is positioned, or else signal detection is continued on the monitoring area; parameter information in a positioning model parameter file is read, the probabilities, at all positions capable of being positioned, of the detection signal characteristic are calculated, and the position with the largest probability correlation is the position where the human body is located most likely.
本发明涉及一种无监督人体检测与定位方法,发送机发送信号,信号经过监测区域,由接收机接收;实时采集信道状态信息数据,对滑动时间窗口内所有数据的子载波振幅求平均值,获取一个包含所有子载波振幅均值的向量,将其作为信号特征;从滑动窗口中提取检测信号的信号特征,计算检测信号特征与静态标准信号特征的相关性,如果每根接收机天线上的相关性大于设定的阈值,表示有人体出现在监测区域,对人体位置进行定位,否则继续对监测区域进行信号检测;读取定位模型参数文件中的参数信息,然后计算检测信号特征在各个可定位位置处的概率,最大概率相关的位置即为人体最有可能位于的地方。

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    CN-105785454-AJuly 20, 2016四川星网云联科技有限公司Indoor motion detecting method based on channel frequency domain response
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