【摘要】 针对微震监测系统中事先难以确定被监测的微震信号振幅大小,无法设置最合适增益问题,提出了一种快、慢增益调整的自适应增益算法.在增益调整时,先使用前一周期采样数据求取其平均值,再和参考值比较,生成快增益调整值,对本周期数据进行快速增益调整;对于一些瞬时的冲击信号,采用慢增益调整,利用LMS自适应增益算法计算慢增益调整值.采用自相关算法对输入的微震信号和随机噪声进行识别,使得微震监测系统对微震信号和随机噪声进行有选择的增益放大.结果表明:利用该自适应增益算法对微震信号和随机噪声进行自适应增益调整,当最大微震信号振幅达到AD量程的90%时,最小微震信号振幅可达到AD量程的30%,而噪声信号接近于0.更多还原

【Abstract】 Because microseismic monitoring system can not determine the amplitude of monitored microseismic signal in advance,and can not set the most suitable adaptive gain,this study proposed an adaptive gain algorithm including fast and slow gain adjustment stages.When adjusting gain,the average value is firstly calculated in the use of data last period,and then compares with the reference values to produce the adjustment value of fast gain.And this study adjusts the fast gain of data in this period;as for some instaneous signals,using the slow gain adjustment and(least mean square) iterative algorithm are to calculate the value of slow gain adjustment.A distinguish between input microseismic signal and the random noise is made in the use of auto correlation algorithm to amplify the selective gain of microseismic monitoring system on the microseismic signal and the random noise.The results show that:using this adaptive gain algorithm is to adjust adaptive gain of microseismic signal and random noise;the minimum microseismic signal amplitude can reach 30% of the span of AD,when the maximum microseismic signal amplitude reaches 90% of the AD range,while the noise signal is near to zero.更多还原