Research Of Automatic Supervising System Of Nobody On Duty Applying To Important Crossing Of Frontier Sentry

The seismic target identification micro-system based on DSP is mainly discussedin the thesis. It consists of three parts, which are feature extracting of seismic signaland target identification realizing in DSP hardware, designing system circuit,programming software of system.The hardware mainly consists of three parts: signal pre-amplifying andconditioning circuit is used to amplifying the micro-seismic signals which havedetected, signal processing and target identifying circuit based on DSP is used toconvert the analog signals which have been amplified to digital signals and go throughsignal analysis, processing to identify the moving target. Accordingly, we studyhardware miniaturization, lower-power, and anti-jamming technology.As to the software, It realized feature extraction from the seismic signals ofrepresentative moving targets using wavelet package analyses method and targetidentification using BP method. Based on the arithmetic theory of fix DSP, weaccomplish the feature extracting arithmetic using wavelet package analyses andtarget identification using BP method on DSP.In order to insure the real time demandof system, we use DMA and McBSP technology to realize real time collection andprocess of seismic signal.Finally, the micro-system is small and light, which can receive the identifyingresult in 100 meters. The result shows software and hardware designing satisfy theanticipative demand and can be used widely. It can be used in many kinds of situationto distinguish the targets, and have the ability of pre-warning.