A detection method of abnormal signal spectrum parameters based on image processing

Abstract

The invention discloses a method for detecting abnormal signal spectrum parameters based on image processing, which includes intercepting the signal spectrum image to be detected, obtaining the RGB three primary color data matrix of the signal spectrum image, extracting the waveform of the selected signal, and extracting the spectrum of the signal selected by the user The parameters of the waveform image, the definition of abnormal signal judgment criteria, and the recording of abnormal signal detection and alarm parameters. The invention breaks the limitation that the existing abnormal signal detection method is only based on the theory of probability and mathematical statistics, introduces the digital image processing theory into the field of abnormal signal detection, further enriches the abnormal signal detection theory, and solves the problem that the existing abnormal signal detection method is only The defect of being able to deploy applications on a single platform, and the structure of the method is simple and reasonable, the original monitoring system has little changes, and it has good compatibility with other platforms. It can be deployed and applied to various monitoring devices across platforms and systems. Good promotion.

Description

technical field [0001] The invention belongs to the technical field of radio signal monitoring, in particular to an image processing-based detection method for abnormal signal frequency spectrum parameters. Background technique [0002] Abnormal signal detection is one of the most difficult points in radio monitoring, which provides important data support for radio management. However, in the current general radio monitoring system, there are generally shortcomings such as no abnormal signal detection function, low degree of signal automatic detection, and serious system function heterogeneity, which has a certain gap with the current increasingly higher radio management requirements. Especially with the rapid development of digital signal processing theory and software automation technology, automatic detection of abnormal signals has gradually become one of the development directions and main functions of radio monitoring systems. If the existing monitoring system is re-up...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for detecting abnormal signal spectrum parameters based on image processing, through image interception, waveform detection, signal alarm and other processing, the signal waveform in the signal spectrum diagram displayed by radio monitoring software can be extracted in real time, according to Abnormal signal judgment criteria, automatically identify abnormal signals, and give the spectrum information of abnormal signals of interest to users, realize the automation of abnormal signal detection, and effectively solve the problems of weak automatic detection ability, low efficiency, and poor accuracy of existing equipment, and have the advantages of The platform has the characteristics of strong versatility, simple structure, high economic benefits, and easy application and promotion, which enriches the abnormal signal detection methods and means, and further improves the abnormal signal detection level

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