Simple target identification method based on channel state information and support vector machine

A channel state information, support vector machine technology, applied in the field of target recognition, can solve the problems of coarse granularity and variability not suitable for accurate perception, poor target recognition accuracy, etc.

Inactive Publication Date: 2017-12-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

RSSI is currently the most widely used energy characteristic, but its coarse-grainedness and variability are not su

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  • Simple target identification method based on channel state information and support vector machine
  • Simple target identification method based on channel state information and support vector machine
  • Simple target identification method based on channel state information and support vector machine

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Embodiment Construction

[0014] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, the introduction of known functions and designs related to the present invention may be downplayed and omitted.

[0015] In this embodiment, the present invention mainly includes the following links to the simple target recognition method: data collection, data preprocessing, data feature extraction, simple target classification and recognition, the flow chart is as follows figure 1 As shown, the specific implementation steps are as follows:

[0016] Step 1: Environmental deployment. Simple target recognition based on Wi-Fi requires indoor coverage of Wi-Fi signals. The layout of the experimental scene is 6 meters long and 7 meters wide. The system selects the 5G frequency band with less signal interference, and the equipment...

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Abstract

The invention puts forward a simple target identification method based on channel state information and a support vector machine, does not need to build special hardware facilities, fully utilizes an existing wireless network and can realize a simple target identification function by a common commercial router. After CSI (Channel State Information) original data is obtained, firstly, DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is adopted to carry out clustering on subcarrier data in a channel to carry out denoising, and then, a weight-based moving average algorithm is adopted to smoothen data subjected to the denoising. After the data is preprocessed, a principal component analysis algorithm is adopted to carry out feature value extraction on the data. The data subjected to preprocessing and feature extraction can more accurately reflect the main change of a signal, and in addition, a dimension is greatly lowered so as to be favorable for improving target identification accuracy and lowering calculation complexity. By use of the method, be means of a SVM (Support Vector Machine) multi-classification algorithm based on a one-against-one strategy, a statistic model under a nonlinear dependence relationship between a target object and a signal fingerprint is obtained so as to achieve a purpose of simple target identification.

Description

technical field [0001] The invention relates to the field of target recognition, in particular to a method for simple target recognition based on channel state information and using support vector machine technology. Background technique [0002] Wi-Fi-based wireless local area networks are widely deployed indoors, and can provide simple target recognition services while providing data transmission services. The proportion of water in the human body is 70%, and water has a strong ability to absorb radio frequency signals, so the human body will reflect, scatter, diffract, and attenuate the surrounding Wi-Fi signals. By monitoring the special fingerprint characteristics formed by the interference caused by the human body to the Wi-Fi signal, it is possible to perform simple target identification on whether the target is a human. [0003] Received Signal Strength Indicator (Received Signal Strength Indicator, RSSI) and Channel State Information (Channel State Information, CSI...

Claims

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Application Information

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IPC IPC(8): G06K9/62H04B17/345
CPCH04B17/345G06F18/2411
Inventor 周瑞陈结松鲁翔
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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