摘要
传统的最小二乘法不具备抗御粗差的能力.当参与温度场重建的声学数据中包含粗差时,容易导致重建的失败.针对水下测得的声学数据中不可避免地含有粗差的情况,将抗差最小二乘法引入温度场重建.依据飞渡时间计算值的范围,建立飞渡时间数据预处理程序,找出实验数据中的粗差,增加了温度场还原过程的抗差性.实验结果表明,以上措施能在一定程度上抑制粗差对温度场重建结果的影响.
The LS method does not have the ability of resisting gross errors.When gross errors occur in the acoustic data,the reconstruction may fail.Since the acoustic data measured underwater unavoidably contain gross errors,a robust least-squares method is proposed and applied to the temperature field reconstruction.In order to find gross errors,a preprocessing progress is established based on the range of the calculated TOF value,which improves the robustness of the system.Experimental results show that these measures can effectively limit the unfavorable influence that gross errors exert on the temperature field reconstruction.
出处
《浙江工业大学学报》
CAS
2012年第2期172-177,共6页
Journal of Zhejiang University of Technology
基金
国家863计划资助项目(2007AA09Z213)
关键词
声学测量
温度场重建
粗差
抗差最小二乘
acoustic measurement
temperature field reconstruction
gross errors
robust least-squares method
