Indoor WLAN (wireless local area network) passive intrusion detection and positioning method based on fuzzy rule updating
A technology of intrusion detection and positioning method, which is applied in the direction of location information-based services, nan, electrical components, etc., and can solve problems such as not being applied
Active Publication Date: 2015-09-30
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology
Fuzzy inference can realize relatively complex nonlinear mapping relationship, which is widely used in the field of industrial control, but it has not been applied in indoor WLAN passive intrusion detection and positioning.
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[0106] Below in conjunction with accompanying drawing, the present invention will be further described:
[0107] see figure 1 , specific implementation mode one: combining figure 1 Describe this embodiment, the steps of this embodiment are as follows:
[0108] Step 1: In an unmanned and silent environment, use the monitoring equipment (Monitor Point, MP) to collect the signal strength from different wireless access points (Access Point, AP) in the environment, so as to collect K data streams S j =[s j,1 ,...,s j,m ](j=1,...,K), where K is the product of MP number and AP number, s j,t ,(t=1,...,m) is the signal strength value at the t-th moment in the j-th data stream, m is the length of time for unmanned silent environment monitoring, and the set of data streams is recorded as A={S 1 ,...,S K};
[0109] Wherein, the unoccupied and silent environment is an environment state in which no person or object appears in the monitoring environment. If there are people or target...
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The invention discloses an indoor WLAN (wireless local area network) passive intrusion detection and positioning method based on fuzzy rule updating. Compared with a traditional indoor positioning method, the method based on fuzzy rule updating has the advantage that positioning can be realized under the condition that to-be-positioned people or targets do not need to carry related hardware equipment or participate actively. Due to the fact that human appearance and motion can result in reflection, scattering, diffraction and the like of indoor wireless signals under an indoor WLAN wireless environment, signal fading is caused, and wireless signals under the condition of indoor intrusion are changed relative to signals under a silent environment, so that whether abnormal intrusion exists in the environment or not is detected according to changes of the wireless signals. By means of fuzzy reasoning for comprehensive utilization of the changes of the wireless signals in the environment, fuzzy rules are trained to establish a mapping relation between wireless signal abnormal change features and positions, and accordingly position estimation of intrusion targets can be realized; in addition, a fuzzy rule adaptive learning algorithm is designed to adapt to environment changes, and accordingly robustness of the method is improved.
Description
technical field [0001] The invention relates to a WLAN passive intrusion detection and positioning method in the radio communication field, in particular to an indoor WLAN passive intrusion detection and positioning method based on fuzzy rule update. Background technique [0002] With the development of economy and technology, people's demand for situational awareness services is getting higher and higher, especially the business demand for Location Based Services (LBS, Location Based Services) is showing explosive growth. In recent years, the Online to Offline (O2O) model has gradually become the basis of business. The vigorous development of the O2O business model makes LBS have high-quality business genes. LBS currently mainly includes satellite positioning systems (such as global satellite positioning system, Beidou satellite navigation system, etc.), cellular network positioning system, and assisted GPS positioning system (Assisted GPS, A-GPS) outdoors; indoors mainly i...
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Login to View More IPC IPC(8): H04W64/00H04W4/04
CPCH04W4/04H04W64/00
Inventor 蒋青李坤鹏周牧田增山向铭范馨月耿小龙何维
Owner CHONGQING UNIV OF POSTS & TELECOMM