GPR Echo Signal Processing And Research On Breathing Signal Detection Algorithm

Ground Penetrating Radar (GPR) is a high precision and no destroying detection technology with rapid development in recent years. It is applied widely to engineering, environment, archaeology and other fields. However, mostly detection environment is so complex, that echo image can be only interpreted by specialists, this affect the popularization of the technique greatly. In addition, signal processing is the weakness in GPR application .Consequently, it is important for us to improve the quality of data by studying signal processing methods, thus we can get clearer image and recognize underground objects easily.To begin with, this paper introduces the structure of GPR and then states several common processing methods which can complete denoising and adjusting wrong echo time. Owing to the similarity between GPR profile and seismic one, we adopt Geometry migration and Diffraction-summation migration which is base on seismic migration methods. The principles of the two methods are illuminated, in addition, the results of simulation prove that the algorithms are effective in GPR signal processing. Finally, we discuss the advantage in detail and give the condition in which they are appropriate to use.Using GPR to realize non-contact detection of breathing signal of human body is an entirely new application. In this thesis, the assumption is demonstrated, and then designs several trials to get echo signal of breathing detection. After comparing and analyzing different methods we propose the algorithm of abstracting breathing signal and denoising. Meanwhile, it can present the accurate position of the body automatically. At last, we discuss the results of echo signal processing.