Super broad band land radar automatic target identification method based on information fusion

Abstract

It is a ultra-wide band earth-probing radar self object identification method based on information integration, which is the following: first to use the large time lag in the relative object signals to the direct wave in the echo-signal of the earth-probing radar and to filter the direct wave; to use the bandwidth relative process to filter wave and to extract typical data and to improve the signal to noise ratio of the signal and to extract the longitudinal and transverse typical data to object shape identification and to extract typical echo-duct data for Welch power spectrum valuation; to use RBF web to classify the object material and finally to integrate the results of the object shape identification and material identification to achieve the complete and effective automatic identification of the underground object of different materials.

Description

technical field [0001] The present invention relates to an automatic target recognition method of ultra-wideband ground penetrating radar based on information fusion----based on wide correlation processing, Welch (Welch) power spectrum analysis, radial basis function (RBF) neural network and shape feature data Fully automatic identification of targets can be widely used in national security and economic fields such as underground metal / non-metal pipeline detection, archaeological site positioning, geological profile exploration, highway quality inspection and safety inspection. Background technique [0002] As a non-destructive detection method, ground penetrating radar is being widely used in the detection of underground targets (such as cavities, pipes, mines, etc.). How to process radar echo signals to identify buried targets has always been a problem for the application of ground penetrating radar. problem. At present, the main processing methods include imaging recogni...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the prior art, to provide a new UWB GPR automatic target recognition method based on information fusion, that is, to overcome the shortcomings of high imaging technology equipment requirements and inability to distinguish similarly shaped targets. It overcomes the complexity and difficulty of existing feature variable identification technology and the inability to identify targets of different shapes, and can effectively and automatically identify underground targets of different shapes and materials to achieve engineering practical effects

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