基于卡尔曼滤波器的微震到时拾取技术研究

Research on Microseismic Arrival Pickup Technique Based on Kalman Filter

在实际微震监测过程中,由于监测环境复杂多变,所以监测系统受多种因素的影响,极易造成采集到的微震信号含有大量噪音,为了能够更好的进行预警定位,必须有效降低噪音带来的影响。基于这一思想,文章通过将卡尔曼滤波器与改进的M-AIC到时拾取算法结合应用到微震监测领域中去,通过利用C#编程语言将其复现,然后运用真实微震数据进行验证。证实了卡尔曼滤波算法具有良好的滤波效果,验证了所提方法的有效性。

In the actual process of micro-shock monitoring,due to the complex and changeable monitoring environment,the monitoring system is affected by a variety of factors,easy to cause the collected micro-shock signals containing a lot of noise,in order to better early warning positioning,must effectively reduce the impact of noise.Based on this idea,this paper combines the Kalman filter with the time pickup algorithm,reproduces it through the C#programming language,and applies it to the real microshock data to prove its effectiveness.The Kalman filter is combined with the improved M-AIC time pickup algorithm to the field of microshock monitoring,reproduced with the C#programming language,and then verified with real microshock data.Confirmed that the Kalman filtering algorithm has a good filtering effect and verified the effectiveness of the proposed method.