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声纳目标运动分析的实现方法

Implementation methods of target motionanalysis for sonar

  • 摘要: 目标运动分析是声纳的一个重要问题。为了能够有效地估计目标运动状态,选择适当测度集合是第一步。开发出有力的估计算法是解决目标运动分析的另一个关键步骤。本文简练地回顾了声纳目标运动分析的实现方法。在本文中,目标运动分析被松散地分成两大类。一类是经典的目标跟踪方法的一部分,它把数据融合作为整个估计过程的不可分割的一部分;另一类在估计目标状态时并没有利用数据融合。

     

    Abstract: Target motion analysis(TMA) is an important problem for sonar.In order to extract target states more effectively,choosing appropriately measurement set is the first thing.The development of powerful estimation algorithms is another crucial step in solving the TMA problem.This paper provides a concise and a up-to-date survey about the implementation methods of TMA problem for sonar.The TMA methods are loosely grouped into two categories.One is a part of the classical target tracking methods,which takes the data association as the inseparable part of the whole estimation process.The other estimates target state without explicit use of a data association algorithm.

     

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