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计算机系统应用:2020,29(1):215-219
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一种QPSO的地下浅层震源定位方法
(中北大学 信息探测与处理山西省重点实验室, 太原 030051)
Shallow Seismic Source Localization Method Based on QPSO
(Shanxi Provincial Key Laboratory of Information Detection and Processing, North University of China, Taiyuan 030051, China)
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投稿时间:2019-06-12    修订日期:2019-07-08
中文摘要: 在一些传统的震源定位算法中,震源优化时对初始震源解的要求比较高,依赖性较大,且搜索范围具有一定的局限性,很难在群波混叠严重,频谱成分复杂的大区域范围内进行震源定位寻优.针对这一问题,提出了基于量子粒子群(QPSO)算法的地下浅层震源定位方法,并通过仿真实现了该算法,评估了该算法与传统算法的优劣.实验结果表明:在-100 m×100 m×-40 m范围内,基于QPSO的浅层单目标震源定位算法的定位精度明显高于传统的基于粒子群的震源定位算法,定位精度可达0.324 m,具有重要的实际应用价值.
Abstract:In some traditional source location algorithms, the requirement of the initial source solution is high, the dependence is large, the search range has a certain limitation, and the source location optimization is difficult to be carried out in the large area range where the group wave aliasing is serious and the spectral component is complex. In order to solve this problem, a method of underground shallow source location based on Quantum Particle Swarm Optimization (QPSO) algorithm is proposed. The algorithm is realized by simulation, and the advantages and disadvantages of the proposed algorithm and the traditional algorithm are evaluated. The experimental results show that in the range of -100 m×100 m×-40 m, the location algorithm's positioning accuracy of the shallow single-target source based on QPSO is obviously higher than that of the traditional source location algorithm based on PSO, the positioning accuracy can reach 0.324 m, which is of great practical application value.
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基金项目:山西省高校创新项目(201802083)
引用文本:
贺铭,苏新彦,李剑.一种QPSO的地下浅层震源定位方法.计算机系统应用,2020,29(1):215-219
HE Ming,SU Xin-Yan,LI Jian.Shallow Seismic Source Localization Method Based on QPSO.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):215-219

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