Mobile phone detection method based on wavelet feature vector extraction

Abstract

The invention discloses a mobile phone detection method based on wavelet feature vector extraction. The method comprises the steps as follows: a detection signal is acquired, a to-be-detected article passes through a detection door, the detection signal is sampled, the sampling frequency is 30 HZ, the signal lasts for about 2 s, and the signal is sent to a computer after A / D conversion; the acquired detection signal is subjected to DB3 wavelet decomposition through wavelet analysis, 8 signal components are obtained and reconstructed, and signal feature vectors of different frequency bands are obtained, and the signal feature vector of each frequency band is extracted; then the feature vectors are subjected to dimension reduction with a principal component analysis method, and the signal feature vectors are transmitted to an application; an analysis result is output by a well-trained BP network. Mobile phone detection magnetic array acquisition signals are processed by the aid of DB3 wavelets, the acquisition array SNR (signal to noise ratio) is increased, mobile phone detection magnetic array data are subjected to wavelet decomposition for extraction of feature vectors, mobile phones and non-mobile phones are recognized, and the mobile phone detection accuracy is greatly improved.

Description

technical field [0001] The invention relates to the field of mobile phone detection, in particular to a mobile phone detection method based on wavelet feature vector extraction. Background technique [0002] With the continuous improvement of confidentiality requirements, it is strictly forbidden to carry mobile phones, recording pens, video recorders and other electronic products on many occasions. There is an urgent need for a device that can detect such electronic products. There are three main detection technologies at present, one is the traditional coil technology, which detects mobile phones through eddy current detection technology; the other is magnetic sensor technology, which detects electronic products such as mobile phones by detecting changes in the geomagnetic field; the other is based on the nonlinearity of electron tubes. Node detection technology, which detects mobile phones by analyzing nonlinear node high-order harmonics. [0003] The threshold of nonlin...

AI Technical Summary

Problems solved by technology

[0005] The main barrier of the current technology is that it is difficult to distinguish non-mobile phone ferromagnetic items such as mobile phones and keys, and there is a high false alarm rate. Improved positive and false positive rates at the same time

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