Indoor passive human-body detection method with free checking of fine granularity

A human body detection, fine-grained technology, applied in the direction of electromagnetic wave detection, etc., can solve the problems of cumbersome operation, high price, low sensitivity to multipath changes, etc., and achieve the effect of flexible scalability

Active Publication Date: 2015-04-08
HARBIN ENG UNIV
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Problems solved by technology

However, in indoor environments, when the signal energy of the line-of-sight path is small, the Rice factor shows low sensitivity to multipath changes
Simultaneous analysis of indoor

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  • Indoor passive human-body detection method with free checking of fine granularity
  • Indoor passive human-body detection method with free checking of fine granularity
  • Indoor passive human-body detection method with free checking of fine granularity

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Embodiment Construction

[0047] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0048] The present invention provides a fine-grained calibration-free indoor passive intrusion detection method, which utilizes the channel state information acquired from a common commercial network card to evaluate the sensitivity of indoor multipath signal changes, and then predicts the detection of a new intrusion detection system Threshold size to reduce deployment overhead and enhance the applicability of wireless indoor intrusion detection.

[0049] In order to realize the object of the appealed invention, the present invention provides a fine-grained verification-free indoor passive intrusion detection method, which includes the following four steps:

[0050] Step A: extracting signal feature information;

[0051] Step B: Construct a standard signal characteristic file, and calculate the size of the receiver sensitivity factor;

[0052] Step C: Predic...

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Abstract

The invention discloses an indoor passive human-body detection method with free checking of fine granularity. The indoor passive human-body detection method comprises the following steps of: constructing a standard signal characteristic file; calculating a receiver sensitivity factor according to the standard signal characteristic file; estimating an intrusion detection threshold according to the receiver sensitivity factor; by a receiver, collecting channel state information of the current detecting signal in real time, extracting a detecting signal characteristic from the channel state information, and calculating the correlation between the detecting signal characteristic and a standard signal characteristic; judging whether the correlation between the detecting signal characteristic and the standard signal characteristic is less than the detection threshold, if so, obtaining a result that an intruding human body appears, otherwise obtaining a result that no person appears. The indoor passive human-body detection method disclosed by the invention has the advantages that the dependency on manual labor is less and the deployment is fast and convenient.

Description

technical field [0001] The invention belongs to a wireless positioning technology, in particular a fine-grained calibration-free indoor passive human body detection method capable of automatically predicting a detection threshold. Background technique [0002] With the continuous development of science and technology, indoor intrusion technology is also constantly improving. Traditional intrusion detection based on pressure sensing, infrared sensing, and image sensing is gradually being cracked. Then wireless intrusion detection system got great attention. The wireless intrusion detection system captures environmental changes by analyzing the characteristics of the received wireless signals, and discovers intrusion behaviors in time. Omni-directional coverage of wireless signals and sensitivity to environmental changes help it perform well in the field of intrusion detection. In recent years, the rapid development of indoor WLAN technology has brought a new wave of develo...

Claims

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Application Information

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IPC IPC(8): G01V3/12
Inventor 杨武宫良一王巍苘大鹏玄世昌申国伟
Owner HARBIN ENG UNIV
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