Instrusion Alarm System In The Vibration Source Of Target Recognition Algorithms

With the continuous development of industrialization, whether it is for a building in civilian or military testing in harsh battlefield conditions unmanned remote real-time monitoring or patrolling the area, surface detection is one of the effective way. In a real war, the enemy vehicles and other targets in the process of moving the surface would have a sound, making the ground vibrate, so the ground vibration sensor can detect ground vibrations change to find, vibration source target in the process of the mobile ground vibration can be caused by the ground motion sensor to detect, through the analysis of vibration signal and processing can be finding and identifying vibration source.In this paper, for achieve recognition of battlefield and positioning method to research the vibration source destination, where the main source of vibration is personnel footsteps and vehicles. Respectively, from both the time domain and frequency domain for the vibration signal source target feature extraction, by a large number of experimental results were analyzed and compared characteristics of personnel and vehicles to mark the range of values and to distinguish between valid. As a result of the limitation of the actual conditions, the vibration source object recognition experiments, the model chosen for CD-10DZ6 dynamic magnetic vibration sensors and AD7606 data acquisition module, and the choice of agricultural tricycle and Volkswagen cars provide vehicle vibration signal. On account of the ARM7-experimental platform, the acquisition and vibration source target recognition algorithm is downloaded to ARM7 experimental platform for the vibration signal acquisition and processing algorithms, and feature extraction experiments at the same time with the ARM7 platform vibration signals at the same time be collected and processed by MATLAB software, so you can understand the process intuitive recognition algorithm.