Unlock instant, AI-driven research and patent intelligence for your innovation.

Identification method of indoor intrusion and spatial structure change based on wireless signal characteristics

A spatial structure and wireless signal technology, applied in the direction of instruments, anti-theft alarms, alarms, etc., can solve the problem of intrusion fingerprint database mismatch

Active Publication Date: 2021-04-06
CHONGQING UNIV OF POSTS & TELECOMM
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention solves the problem that the intrusion fingerprint database does not match due to the change of the indoor space structure in the intrusion detection method based on the fingerprint database, and provides an indoor intrusion and spatial structure change identification method based on RSS signal feature analysis

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Identification method of indoor intrusion and spatial structure change based on wireless signal characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] specific implementation plan

[0039] The present invention will be further described below in conjunction with accompanying drawing:

[0040] like figure 1 A method for identifying indoor intrusion and spatial structure changes based on wireless signal features is shown, which specifically includes the following steps:

[0041] Step 1. In the offline stage, collect the silent signal in the target environment, that is, collect z at each monitoring point 1 A silent Received Signal Strength (RSS) sequence S l ={S l (1),...,S l (M l )}(l=1,...,z 1 ), where M l is the length of the lth silent RSS sequence, S l (n)(n=1,...,M l ) is the nth RSS vector of the lth silent RSS sequence.

[0042] Step 2. Collect intrusion signals in the target environment, that is, collect z at each monitoring point 2 Article Invasion RSS Feed R l′ ={R l′ (1),...,R l′ (M l′ )}(l'=1,...,z 2 ), where M l′ is the length of the l′th intrusion RSS sequence, R l′ (m)(m=1,...,M l′ ) is...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for identifying indoor intrusion and spatial structure change based on wireless signal characteristics. First, in the offline stage, calculate the correlation coefficient between the silent signal and the intrusion signal, as well as the wavelet transform coefficient and the average power approximation of the intrusion signal; then, in the online stage, use the wavelet transform to detect whether the received signal at the monitoring point has abnormal changes, Time Fourier transform calculates the average power of the abnormal signal and the correlation coefficient between the abnormal signal and the silent signal; finally, according to the obtained average power and correlation coefficient, the indoor intrusion or spatial structure change that caused the abnormal signal is identified. The patent of the present invention proposes a method for identifying indoor intrusion and spatial structure changes based on wireless signal characteristics by analyzing the characteristics of wireless signals, so as to improve the robustness and environmental adaptability of the existing indoor intrusion detection system.

Description

technical field [0001] The invention belongs to indoor intrusion detection technology, in particular to an indoor intrusion and spatial structure change identification method based on RSS signal features. Background technique [0002] Intrusion detection technology has a wide range of applications in security protection fields such as valuables monitoring, empty-nest elderly monitoring, and military defense. At present, the indoor intrusion detection technology based on WLAN has become the mainstream research direction of domestic and foreign scholars because of its advantages of user privacy protection effect and strong ability to see interference under non-line-of-sight conditions. Among them, there are two relatively mature methods: ① Intrusion detection method based on wireless signal characteristics, which uses the influence of intrusion targets on signal strength, and uses its mean and variance two-dimensional statistical characteristics to detect whether there is an i...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08B13/00
CPCG08B13/00
Inventor 周牧刘柱王勇蒲巧林何维田增山
Owner CHONGQING UNIV OF POSTS & TELECOMM