The Research On Key Technologies Of Seismic And Magnetic Recognition Based On DSP

Recognition of ground targets as a Network Recognition System(NRS)part,its mission is described as through front sensor system detects all types of physical environments signal such as acoustic , seismic ,magnetic, images signals and so on.Then processed the received signals to determine the ground target environment information such as type, number , direction of movement, speed and so on. According to the functional requirements of the NRS, research is completed on the key technologies of seismic and magnetic signals ground recognition based on DSP.This paper analyzes the mechanism of seismic and magnetic signal, studies the the main features of personnel and vehicles seismic signal in time domain and frequency domain , as well as target vehicles in the time-domain magnetic signal and selects the more typical time-domain and frequency domain characteristics eigenvector for target classification.In order to capture the weak seismic and magnetic signal, the paper design the weak seicmic and magnetic sensor signal conditioning circuits and DSP Acquisition Center hardware modules. This paper study the DSP software development environment and target recognition system software. The seismic and magnetic target signal feature extraction algorithm is studied , the main algorithm have been debuged and optimized in the CCS program development environment .The experiment testifies that this DSP system can recognize the ground seismic and magnetic target signal. Front sensor data acquisition module can exactly achieve and adjust seismic and magnetic object signal data, DSP central processing module can processed the collected data in real-time processing. This system can cooperate with the sound, image recognition system to enhance NRS target identification system accuracy and intelligence.