
Applicability analysis of improved STA/LTA algorithm for MEMS seismograph
GuoYong ZHAO, Lei QIU, CaiHua LI, Jian ZHANG
Prog Geophy ›› 2025, Vol. 40 ›› Issue (2) : 448-459.
Applicability analysis of improved STA/LTA algorithm for MEMS seismograph
The MEMS seismograph developed based on Micro-Electro-Mechanical System (MEMS) technology has the advantages of easy integration, low maintenance cost and low power consumption, and is widely used in the field of seismic monitoring. However, the integrated software and hardware resources of MEMS seismograph are limited, and it is greatly interfered by the instrument's own noise and other factors, resulting in low-quality seismic signal measurements, which requires higher embedding algorithm. To solve this problem, this paper proposes an improved Short Term Average/Long Term Average (STA/LTA) algorithm that is more suitable for MEMS seismographs. Firstly, the characteristic function of Anti-interference (AR) is constructed to suppress the interference of baseline drift and low-frequency noise, and improve the anti-interference ability of the STA/LTA algorithm to pick up seismic events. Secondly, the method of "delay time window" is proposed to improve the computational efficiency and picking accuracy of the STA/LTA algorithm, and reduce the occupation of MEMS integration resources by the STA/LTA algorithm. Finally, the influence of different time window sizes on the picking efficiency of STA/LTA algorithm is further explored by combining the time window position. The simulation results of actual seismic data show that the improved STA/LTA algorithm proposed in this paper has higher computational efficiency, stronger real-time and anti-interference ability, and is more suitable for integrating MEMS seismometers with limited resources.
MEMS seismograph / STA/LTA algorithm / Arrival-time picking / Characteristic function / Time window
Akaike H. 1973. Information theory and an extension of the maximum likelihood principle. //Proceeding in Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 267-281.
|
|
|
|
|
|
|
|
|
|
|
|
|
Li C L. 2013. Research and achievement on earthquake intensity monitoring technology based on MEMS accelerometer [Master's thesis](in Chinese). Wuhan: Institute of Seismology, China Earthquake Administration, 18-39.
|
|
|
|
|
|
|
Meyer J H. 1988. First comparative results of integral and instantaneous polarization attributes for multicomponent seismic data. Institut Francais Du Petrole, France.
|
|
|
|
|
Qiu L. 2023. Research and application of seismic wave recognition algorithm in earthquake early warning [Master's thesis](in Chinese). Langfang: Institute of Disaster Prevention, doi: 10.27899/d.cnki.gfzkj.2023.000021.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
李昌珑. 2013. 基于MEMS加速度传感器的地震烈度监测技术研究与实现[硕士论文]. 武汉: 中国地震局地震研究所, 18-39.
|
|
|
|
|
|
|
邱磊. 2023. 地震预警中地震波识别算法研究及应用[硕士论文]. 廊坊: 防灾科技学院, doi: 10.27899/d.cnki.gfzkj.2023.000021.
|
|
|
感谢国家地震科学数据中心(https://data.earthquake.cn)提供的数据支持,感谢审稿专家提出的修改意见.
/
〈 |
|
〉 |