Active person number estimation method based on channel state information

A technology for channel state information and active personnel, applied in the fields of signal processing and wireless signal processing, it can solve the problems of poor accuracy, low estimation accuracy, and poor applicability, so as to overcome the large fluctuation of results and the accuracy of estimation. High and stable effect

Active Publication Date: 2017-09-12
XIDIAN UNIV +1
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AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the estimation accuracy is poor and the applicability is not strong
The dis

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  • Active person number estimation method based on channel state information
  • Active person number estimation method based on channel state information
  • Active person number estimation method based on channel state information

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings.

[0034] refer to figure 1 , the concrete steps that the present invention realizes are as follows:

[0035] In the area to be estimated where the number of active personnel needs to be estimated, the steps for offline training are as follows:

[0036] Step 1, collect channel state information of the known number of active personnel.

[0037] Set up a population estimation system in the area to be estimated, which includes a wireless access point, 4 monitoring points and a central server. The 4 monitoring points are all equipped with wireless network cards capable of collecting channel state information. The wireless access point is established based on 802.11n wireless LAN communication standard wireless network, all monitoring points and central server are connected with wireless access point. Each monitoring point continuously sends ping command data packets to the...

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Abstract

The invention discloses an active person number estimation method based on channel state information and mainly solves the problem that the active person number estimation result of an existing method is inaccurate and large in fluctuation. The active person number estimation method comprises an offline training stage and an online estimation stage, wherein the offline training stage specifically includes the steps of firstly, collecting the channel state information of known active person number; secondly, extracting the channel state information features of the known active person number; thirdly, training a support vector machine classifier; the online estimation stage specifically includes the steps of fourthly, collecting the channel state information of to-be-estimated active person number; fifthly, extracting the channel state information features of the to-be-estimated active person number; sixthly, estimating active person number. The active person number estimation method has the advantages that the channel state information features of different active person numbers can be accurately distinguished, and the accuracy and stability of active person number estimation are increased effectively.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a method for estimating the number of active personnel based on channel state information in the technical field of wireless signal processing. The present invention trains the support vector machine classifier in the offline training stage, and uses the trained support vector machine classifier to estimate the number of active personnel in the online estimation stage, which can be used for counting or monitoring active personnel in and out of similar smart home scenes Quantities are estimated and monitored online. Background technique [0002] In many scenarios in real life, it is of great significance to obtain an estimate of the number of active people in a certain area. An ideal method for estimating the number of active personnel should have a wide range of applications, high estimation accuracy, and no constraints on users. Due to the diversity of scenario...

Claims

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Application Information

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IPC IPC(8): G07C9/00G06K9/62H04B17/309H04W24/08
CPCH04B17/309H04W24/08G07C9/00G06F18/2411
Inventor 秦浩柯旭李鹏宋彬
Owner XIDIAN UNIV
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