Target detection and identification method based on improved zero-crossing number analysis

Abstract

The invention discloses a target detection and identification method based on improved zero-crossing number analysis. The method includes: preprocessing vibration signals, calculating a frequency spectrum by adopting low-pass anti-aliasing filtering; attenuation processing is carried out on large signals in the vibration signals; amplification processing of small signals, post-processing A / D conversion, converting the analog signal into a digital signal; numerical value passing signal amplification circuit, the voltage after signal amplification is obtained; taking the second maximum value ofthe voltage signal as a basic threshold value; the result is used as a basis for zero-crossing number analysis and judgment; judging whether the acquired voltage is greater than a preset threshold value or not; and comparing the amplified voltage with a set threshold range, setting periodic sampling time, recording the numerical value of the target signal exceeding the threshold range, counting the number of the target signals exceeding the threshold range in the periodic sampling time, and establishing a mathematical model according to the number of the target signals exceeding the thresholdto judge the characteristics of different targets. According to the method, the defects of low accuracy and high identification difficulty of an original target detection and identification technologycan be improved, and effective extraction and identification of different target features are achieved.

Description

technical field [0001] The invention relates to a target detection and recognition method for improved zero-crossing analysis in the field of target detection and recognition. Background technique [0002] With the continuous advancement of science and technology, target detection and identification technology plays an important role in security monitoring tasks such as perimeter protection. The target detection and recognition technology obtains the characteristic information of the moving target through the sensor, and analyzes and discriminates the information to further identify the moving target object and realize a more accurate judgment of the target situation. A variety of sensors have the ability to obtain the motion attributes of the target and perform target classification and judgment. Among them, the vibration sensor can effectively identify the target type, and can realize the optimal identification and safety warning of different moving targets. The vibratio...

AI Technical Summary

Problems solved by technology

At present, the detection and recognition technology for different targets has the disadvantages of low accuracy and difficulty in recognition, and it is prone to situations where early warning cannot be issued and early warning is not timely.

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