Method for comprehensively evaluating examination room cheating signal suspected degree

Abstract

The invention discloses a method for comprehensively evaluating the examination room cheating signal suspected degree. The method comprises the steps of learning background signals, counteracting the background signals, extracting time domain features, frequency domain features, information domain features and space domain features from the filtered signals at the same time or different time, comprehensively evaluating the suspected degree, grading the features based on a blacklist and a whitelist to obtain quantization values, carrying out weighted average calculation on the four kinds of quantization values to obtain the comprehensive quantization value and carrying out comprehensive evaluation. Cheating signals are comprehensively evaluated in the aspects of a time domain, a frequency domain, an information domain and a space domain, the features of the cheating signals in the aspects of the four domains are fully utilized, the method has higher pertinence and accuracy, the problem that according to a traditional method, it is difficult to accurately extract the cheating signals from the complex background environment is effectively solved, and the core competence for detecting the guidance blocking mechanism of a cheating preventing and controlling system is greatly improved.

Description

technical field [0001] The invention relates to a method for evaluating a cheating signal in an examination room, in particular to a method for comprehensively evaluating the suspicion degree of a cheating signal in an examination room with strong comprehensiveness and high accuracy. Background technique [0002] The high-tech cheating prevention and control system based on detection and guidance is the mainstream direction of the current cheating prevention and control development in the examination room. For this system, how to extract possible cheating signals from the complicated background environment of wireless signals in the examination room and block them It is the core factor that determines the effectiveness of prevention and control. [0003] The existing methods for extracting possible cheating signals mainly use the background signal offset method. This method learns the background signal for a certain period of time before the exam, obtains the background spec...

AI Technical Summary

Problems solved by technology

This method only partially utilizes the characteristics of the cheating signal in the time domain. Although it is simple and easy to implement, the disadvantage is that it only uses the burst characteristics of the signal in time, and the extraction of the cheating signal is not high enough in pertinence and accuracy. Failure to comprehensively evaluate cheating signals

In addition, there are also black and white lists to evaluate cheating signals, but this method is only effective for signals in the black and white lists, and lacks guidance for unknown signals outside the black and white lists

Therefore, the existing methods for obtaining and evaluating cheating signals in examination rooms are relatively single, not comprehensive enough, and not accurate enough

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