Method for detecting abnormal signal spectrum parameter based on image processing

Abstract

The invention discloses a method for detecting an abnormal signal spectrum parameter based on image processing. The method comprises the steps of capturing a signal spectrum image to be detected, acquiring an RGB three-primary-color data matrix of the signal spectrum image, extracting a waveform of the selected signal, extracting the parameters of a spectrum waveform image in the signal selected by a user, defining an abnormal signal judgment criterion, and recording abnormal signal detection alarm parameters. According to the method, the limitation that an existing abnormal signal detection method is singly based on the probability theory and the mathematical statistics theory is broken, the digital image processing theory is introduced into the field of abnormal signal detection, the abnormal signal detection theory is further enriched, a defect that an existing abnormal signal detection method only can be deployed and applied on a single platform is solved, the method has the advantages of a simple and reasonable structure, little change to an original monitoring system and good compatibility with other platforms, the method can be deployed and applied to various monitoring devices across platforms and systems and has 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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