Research on early-warming and target identification algorithm of seismic signal based on characteristics of noise

Seismic signal generated on ground by moving person and vehicle target was sensed by MEMS accelerometer, then collected and processed by MSP430, achieving early-warming and target identification for ground targets. A method based on three times of the noise variance as the threshold value was proposed as to early-warming. A modified zero-crossing analysis was 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.