基于改进GA算法的远场震源定位方法

Far-field seismic source positioning method based on improved GA algorithm

  • 摘要: 针对震源置于远场时定位精度急剧下降的问题,提出了基于改进GA算法的远场震源定位方法。改进GA算法综合利用拟牛顿法收敛速度快和GA算法可全局搜索的特点实现震源定位,仿真结果表明,改进GA算法运行速度约为GA算法的3倍。针对传感器单轴排列导致y轴定位精度无法保证的问题,提出将传感器的位置布置改为双轴,在双轴上各自设置独立的子目标函数,保证双轴误差最小,分析结果表明,新目标函数的收敛速度更快、更稳定,可有效提高y轴定位精度。

     

    Abstract: In view of problem that positioning accuracy drops sharply when seismic source is placed in far-field, a far-field seismic source positioning method based on improved GA algorithm was proposed. The improved GA algorithm makes use of fast convergence speed of quasi-Newton method and global search of GA algorithm to realize seismic source positioning. Simulation results show that the improved GA algorithm runs about three times faster than the GA algorithm. In view of problem that positioning accuracy of y-axis cannot be guaranteed due to uniaxial arrangement of sensors, it was proposed to change the position of the sensors to two axes and set independent sub-objective functions on both axes to minimize the biaxial error. Analysis results show that the new objective function converges faster and runs more stably, and can effectively improve y-axis positioning accuracy.

     

/

返回文章
返回