Abstract
In this thesis, we implement an innovative perimeter intrusion detection system, including a security interface and an algorithm for discriminating between intrusion and nuisance events, for the existing fiber optic sensing hardware architecture. While DAQ (Data Acquisition) continuously samples fiber sensor output under a sampling frequency of 2.5 kHz, the system first compute the high and low frequency features out of every 512 sample values and then use the features to discriminate between events. We design two experiments to evaluate the effectiveness of the system. To test whether the system can discriminate between intrusion and nuisance events, the first experiment changes the force acting on the fiber. If the system works rightly, it will make right decision according to force measured. The second experiment is performed just like the first experiment in many ways, but moves the scene from the laboratory to the real world in order to take the interference of environment into account. In these two experiments, our system is capable to make right decisions in discriminating between events. This system automatically detects abnormal events appeared in the Area. When an abnormal event occurs, the system records the time and sampled values of the event immediately. In the meantime, the security interface displays alarms.