High-efficiency imaging method for multi-input and multi-output borehole radar based on high degree of freedom

Abstract

The invention discloses a high-efficiency imaging method for a multi-input and multi-output borehole radar based on high degree of freedom. The method completes transformation from sampling space to target space in the high degree of freedom sampling data matrix by improving imaging freedom of the multi-input and multi-output borehole radar sampling data to realize high-efficiency and high-precision imaging of the multi-input and multi-output borehole radar sampling data. According to the high-efficiency imaging method for the multi-input and multi-output borehole radar based on high degree offreedom, influences of variable spacing of different transceiver elements on the multi-input and multi-output borehole radar are eliminated; frequency wavenumber spectrum of the sampled data in the extended high degree of freedom sampling space is obtained by using express Fourier transform; the sampling space and the target space are bridged to obtain a target space imaging result; high-efficiency and high-precision imaging of multi-input and multi-output borehole radar sampling data is realized and the application value of multi-input and multi-output borehole radar in practical engineeringis improved.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, and relates to a drilling radar target imaging technology, in particular to a high-efficiency imaging method for a multi-input and multi-output drilling radar based on a high degree of freedom. Background technique [0002] Borehole radar imaging technology is one of the key technologies for underground target detection and identification, and has been widely used in the fields of crack and cavity detection, hydrogeology and geological exploration. Compared with optical remote sensing methods, borehole radar imaging technology has all-weather operability and better material penetration. However, due to the complexity of the underground detection environment, monostatic and bistatic borehole radar imaging systems are susceptible to strong clutter interference, and the effective reflection signals of targets are usually submerged by strong clutter signals and cannot be identified. [0003] W...

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Problems solved by technology

However, the Stolt migration algorithm also does not consider the variable transceiver spacing of the multi-input multi-output borehole radar, and positioning deviation will occur when dealing with non-single-base radar imaging

[0006] The existing radar imaging algorithm has poor positioning accuracy and low efficiency in the application of multi-input multi-output drilling radar imaging, which restricts the application of multi-input multi-output drilling radar system in actual engineering

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