Research On Signal Processing Technology Of Step Frequency Ground Penetrating Radar

Ground penetrating radars are widely used in various fields with non-destructive and fast detection characteristics,and step-frequency ground penetrating radars can synthesize a larger bandwidth,making them have high resolution and good detection depth,and has a great application prospects in the detectiong of small targets in subsurface.This paper uses step-frequency radar to detect shallow underground targets as the application background,and studies the clutter interference in the echoes of underground targets.The basic theory of GPR is reviewed,the working principle of range image and the echo form of target characteristics are introduced.Based on three common clutter algorithms of mean method,PCA and linear prediction,a combined principal component analysis and bidirectional linear prediction method for suppressing clutter interference is proposed.Based on the hyperbolic characteristics of the target in the two-dimensional echo raw data,the hyperbolic characteristics of the target were extracted and detected by hough transform and edge detection of the image.The experimental results show that the method proposed in this paper can effectively suppress clutter and enhance the characteristics of the target curve,and can effectively detect the target from the extracted curve characteristics.Based on the signal research of step-frequency ground penetrating radar,and by processing the actual measurement data,the experimental results show that the proposed method can effectively suppress clutter,and at the same time,compared with the BP imaging algorithm,The extraction of curves can detect targets quickly and effectively,and meet the needs of underground target detection.