为解决野外古墓葬安防网络中高采样率会缩短无线传感器网络寿命的问题,提出了使用功率谱二次处理对地震信号进行特征提取的方法.并通过三类地面活动数据采集进行对比识别实验,分析了低采样率条件下地震信号特征提取方法的性能.结果表明,使用功率谱二次分析的特征提取方法能够降低网络通信能耗,延长网络寿命,提高系统目标识别的准确性.该方法已应用于秦始皇兵马俑野外文物安防系统,经实践检验,收到了良好的效果. In order to solve the problem that the high sampling rate of field defense network in ancient tombs will shorten the life of wireless sensor networks, a method of feature extraction of seismic signals by using secondary power spectrum processing is proposed, and three types of ground motion data acquisition are used to compare and identify experiments. The performance of the method of feature extraction of seismic signals under low sampling rate was studied.The results show that the method of feature extraction based on quadratic analysis of power spectrum can reduce the energy consumption of network communication and extend the life of network and improve the accuracy of the system target recognition.This method has been applied Qin Shihuang Terracotta Warriors and Horses field artifact security system, the practice test, received good results.