LI Jian, WU Dan, HAN Yan
（Institute of Signal Capturing & Processing Technology, Key Laboratory of Shanxi Province, North University of China, Taiyuan 030051, China）
Abstract： Aiming at the lower microseismic localization accuracy in underground shallow distributed burst point localization based on time difference of arrival(TDOA), this paper presents a method for microseismic localization based on group waves’ time difference information. Firstly, extract the time difference corresponding to direct P wave’s dominant frequency by utilizing its propagation characteristics. Secondly, construct TDOA model with non-prediction velocity and identify objective function of particle swarm optimization (PSO). Afterwards, construct the initial particle swarm by using time difference information. Finally, search the localization results in optimal solution space. The results of experimental verification show that the microseismic localization method proposed in this paper effectively enhances the localization accuracy of microseismic explosion source with positioning error less than 50 cm, which can satisfy the localization requirements of shallow burst point and has definite value for engineering application in underground space positioning field.
Key words： particle swarm optimization (PSO); explosion source localization; non-prediction time difference of arrival (TDOA)
CLD number： TN911.71 Document code： A
Article ID： 1674-8042（2016）03-0241-06 doi： 10.3969/j.issn.1674-8042.2016.03.006
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一种基于群波时间差信息的PSO微震定位方法
李 剑， 武 丹， 韩 焱
（中北大学 信息探测与处理技术山西省重点实验室， 山西 太原 030051）
摘 要: 针对基于TDOA的地下浅层分布式炸点定位中微震定位精度低的问题， 本文提出了一种基于群波时间差信息的微震定位方法。首先， 利用直达P波的传播特性， 抽取直达P波的优势频率对应的时间差； 其次， 构建无预测速度TDOA模型， 确定PSO目标函数； 然后， 利用时间差信息构建初始粒子群； 最后， 在最优解空间中， 寻找定位结果。试验验证的结果证明： 本文提出的微震定位方法有效地提高了微震震源定位精度， 定位误差小于50 cm， 满足浅层炸点的定位要求， 该方法在地下空间定位领域具有一定的应用价值。
关键词: 粒子群优化； 震源定位； 无预测TDOA
引用格式： LI Jian, WU Dan, HAN Yan. A PSO microseismic localization method based on group waves’ time difference information. Journal of Measurement Science and Instrumentation, 2016, 7(3)： 241-246. ［doi： 10.3969／j.issn.1674-8042.2016.03.006］
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