Seismic Signal Warning and Classification Algorithm Based on Noise and Improved Zero Crossing

Seismic signal generated by moving on ground by person and vehicle target is sensed by MEMS accelerometer, then collected and processed by MSP430, achieving early-warming and target identification of ground targets. A seismic signal warning algorithm based on the characteristics of noise is proposed as to early-warming and a seismic signal target classification algorithm based on improved zero crossing is used to identify different kind of targets. The results show that person within 8 meters and vehicles within 20 meters away from the accelerometer can be detected and identified effectively. The correct identification rate can reach 85% or more. This algorithm is very simple and practical when processing signal collected by sensors with digital output.