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基于线性最小二乘方法的多基地声呐定位算法
引用本文:刘若辰,王英民,甘甜.基于线性最小二乘方法的多基地声呐定位算法[J].电声技术,2011,35(6):56-60.
作者姓名:刘若辰  王英民  甘甜
作者单位:西北工业大学航海学院;
摘    要:通过对多基地声呐发射站和接收各站的测量结果进行数据融合,提出了基于线性最小二乘方法的多基地声呐空间定位算法,并针对影响算法定位精度性能的各个因素进行了分析.仿真结果显示:基于线性最小二乘方法的定位算法充分利用了系统的冗余信息,在全域范围内具有较高的定位精度,较现有单纯利用三观测量的目标三维定位算法的定位性能更为优越.该...

关 键 词:多基地声呐  定位精度  LLS算法  数据融合

Space Location Algorithm for Multistatic Sonar Based on Linear Least Squares Method
LIU Ruochen,WANG Yingmin,GAN Tian.Space Location Algorithm for Multistatic Sonar Based on Linear Least Squares Method[J].Audio Engineering,2011,35(6):56-60.
Authors:LIU Ruochen  WANG Yingmin  GAN Tian
Affiliation:LIU Ruochen,WANG Yingmin,GAN Tian (College of Marine,Northwestern Polytechnical University,Xi an 710072,China)
Abstract:A space location algorithm with linear least squares method for multistatic sonar is proposed by fusing the data of transmitters and receivers.Through numerical simulation,the effects of the system parameters on location accuracy are investigated.The simulation results show that the linear least squares(LLS) algorithm,taking full advantage of the system information,has higher localization accuracy in the whole domain than the method which simply uses three measurements to position the target in three-dimens...
Keywords:multistatic sonar  position location accuracy  linear least squares method  data fusion  
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