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稳健估计下的声源定位最小二乘算法
引用本文:于国栋,宋永志,王世赞.稳健估计下的声源定位最小二乘算法[J].应用声学,2017,36(1):26-31.
作者姓名:于国栋  宋永志  王世赞
作者单位:中国白城兵器试验中心,中国白城兵器试验中心,中国白城兵器试验中心
基金项目:军队试验技术研究项目(12-sy14)
摘    要:采用声波技术测量落点坐标时,由于多种原因不可避免会产生粗差,严重影响定位结果。针对上述问题,提出了一种粗差探测方法和稳健估计下的声源定位最小二乘算法。该算法按照逐次迭代平差的方法,不断地改变观测值的权,使粗差观测值的权趋于零,从而降低粗差的影响。通过算例对文章算法进行了验证,结果表明:新算法的解算精度明显优于传统最小二乘算法。

关 键 词:声源定位  声震波探测技术  稳健估计  粗差探测  最小二乘
收稿时间:2016/4/11 0:00:00
修稿时间:2016/7/28 0:00:00

Research of Least Squares Algorithm for Sound Source Localization
YU Guo-dong,SONG Yong-zhi and WANG Shi-zan.Research of Least Squares Algorithm for Sound Source Localization[J].Applied Acoustics,2017,36(1):26-31.
Authors:YU Guo-dong  SONG Yong-zhi and WANG Shi-zan
Institution:Baicheng Ordnance Test Center of China,Baicheng Ordnance Test Center of China,Baicheng Ordnance Test Center of China
Abstract:According to the influence of the gross error on the results of seismic-acoustic wave detection method measurement in impact point coordinates, a gross error detection method and least square algorithm based on robust estimation was proposed. The method of successive iteration adjustment is used to continuously change the weight of the observation value, so that the weight of the gross observation value is zero, so that the influence of the gross error is reduced. The comparison results show that the new algorithm is better than the traditional least square algorithm, and the algorithm is more robust.
Keywords:sound localization  seismic-acoustic wave detection method  robust estimation  gross error detection  least squares
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