Research On The Key Technologies Of High Precision Microwave Detection In Shallow Environments

The detection,location and recognition of hidden objects have been an important research field and development direction of detection technologies.Recent years,with the development of the national economy and the significant improvement of the technology,the related technologies for detecting and identifying the hidden targets have received more and more attention from relevant researchers.The development of detection techniques for hidden objects is of great significance in applications such as indoor wiring positioning,subgrade non-destructive testing,and military detection.Therefore,this technology has shown broad development prospects and great application value in both civil and military fields.Firstly,based on the concrete wall model,an effective method for positioning the buried object by microwave is designed by using the LCR.Then,in order to achieve the requirement of distinguishing the material of the buried object,based on the compensation principle,according to the principle that the object of different materials is irradiated by the electromagnetic wave radiated by the antenna will have different influence on the input impedance of the antenna,a method for measuring the dielectric constant is designed.Then,in order to improve the detection quality of objects in the wall,based on the space microwave power transmission model,according to the theory of power transmission maximization,a near-field focusing antenna operating in the 2.45 GHz is designed.This kind of array can focus the electromagnetic power in the particular area.Several planar antennas have been designed to meet the needs of detection,these antennas reduced the size of the antenna and their structures are more beneficial to the final integration of the detection system.Finally,a radio frequency circuit for achieving the above detection function is given.The functional devices in the circuit mainly use surface mount devices,which are stable in performance,convenient to use and easy to integrate.Simulation and test results are in good agreement,which proves the effectiveness of the detection method.