文章摘要
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].,2017,36(1):26-31
稳健估计下的声源定位最小二乘算法*
Research of Least Squares Algorithm for Sound Source Localization
投稿时间:2016-04-11  修订日期:2016-07-28
中文摘要:
      针对声震波技术测量落点坐标过程中的粗差对计算结果的影响,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。通过算例的比较结果表明:新算法的解算精度优于传统最小二乘算法,并且鲁棒性更强。
英文摘要:
      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.
DOI:10.11684/j.issn.1000-310X.2017.01.005
中文关键词: 声源定位  声震波探测技术 稳健估计  粗差探测 最小二乘
英文关键词: sound localization  seismic-acoustic wave detection method  robust estimation  gross error detection  least squares
基金项目:军队试验技术研究项目(12-sy14)
作者单位E-mail
于国栋* 中国白城兵器试验中心 daya9527@126.com 
宋永志 中国白城兵器试验中心 syz63869@126.com 
王世赞 中国白城兵器试验中心 daya9527@126.com 
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