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地表移动观测站实测数据反演求取概率积分法参数是这一方法应用过程中的关键问题,现有算法存在求参易发散,难以获取最优解的缺陷.提出采用遗传算法反演概率积分法参数,研究了该算法反演结果的准确性和可靠性.研究结果表明,遗传算法反演概率积分法预计参数精度高,参数相对误差小于1.5%,对观测站中的观测值随机误差、粗差、观测点缺失的问题具有较强的抗干扰能力,较最小二乘法、模矢法在参数反演准确性和可靠性方面有明显优越性.
It is a key problem in the application of this method that the inversion of the measured data from the observation station of the earth’s surface mobile station has some shortcomings such as the difficulty of getting the optimal solution and the difficulty of obtaining the optimal solution. Method parameters, the accuracy and reliability of the inversion results are studied.The results show that the genetic algorithm inversion probability integration method has the advantages of high precision parameters, relative parameters of less than 1.5%, random observations of observation station error, Compared with the least square method and the mode-vector method, it has obvious superiority in accuracy and reliability of parameter inversion.