Characteristic Analysis and Object Recognition for Seismic Signals of Moving Terrestrial Targets

The feature extraction of seismic signals that ground targets produce is the critical technology of object recognition.In order to pick up the seismic signal produced by moving targets such as humans or vehicles,Firstly,we did an experiment and established the signal sample database containing information which reflects the target attribute characteristics.Through an analysis of the Zero-Crossing Number method,we have obtained the time domain feature of seismic signal,and two targets of single man and vehicles have been distinguished.Finally,the Welch spectral method is used to analyze the signal frequency domain,and we have distinguished two targets of single and more than a random man.The experiments show that the two methods have the advantages of simple operation,easy implementation and good recognition effect.