Microwave detection system for complex foreign matters in vivo based on template signal similarity

Abstract

The invention discloses a microwave detection system for complex foreign matters in vivo based on the template signal similarity. Microwave defection, especially interior detection for materials, is widely applied and has the advantages of safe and frequent utilization and high portability. However, the microwave detection technology is still at an exploration stage for complex-structure detection objects in which to-be-detected target foreign matters have no significant difference with the dielectric constants of normal structural bodies, especially for the field of biomedicine detection. The microwave detection system provided by the invention is based on the template signal similarity, especially based on the signal similarity comparison between microwave measurement signals and corrected simulation template signals, so that the microwave detection system can be used for judging whether a foreign matter exists in an object or not and judging the position and size of a target foreign matter.

Description

technical field [0001] The invention relates to a microwave detection system for foreign matter inside a complex body based on template signal similarity and a detection method using the system, especially for conveniently and quickly judging whether there is foreign matter inside a complex structure body and judging The location and size of the foreign body. It belongs to the technical field of microwave detection. Background technique [0002] Microwave is a form of electromagnetic radiation, its frequency band is between 300MHz and 300GHz, and the corresponding wavelength is 1000mm to 1mm. Microwave has a long wavelength, can penetrate into the interior of the object, and has the characteristics of light. It propagates along a straight line without hindrance, but inside the object, different materials make it reflect, refract, diffract or scatter with different properties. It is possible to detect changes in the microwave signal passing through the object, thereby grasp...

AI Technical Summary

Problems solved by technology

Imaging methods can be divided into beamforming and inverse reconstruction methods. The former is a kind of Synthetic Aperture Radar (SAR) method. By calculating the distance from the imaging point to the sensing point, the signal delay is obtained to obtain the imaging point. The method of locating foreign objects has large errors; the reverse reconstruction method uses an optimization method to reconstruct the node constants of the measured area, and judges the position and size of foreign objects such as blood clots, which has the disadvantages of complex algorithms and susceptibility to interference.

Due to the complex structure of the object and the dielectric properties of the foreign object area, the imaging algorithm faces a severe development bottleneck in the detection of complex objects

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