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中文摘要：
为了更好地解决密集杂波环境下的目标跟踪问题，弥补密集杂波环境下概率数据互联算法（PDA）误关联概率偏高的不足．在对现有的Viterbi数据互联算法进行深入分析的基础上，给出了一种计算两个量测之间互联概率的表达式，提出了一种基于两点量测的Viterbi数据互联算法（TM—VDA）。仿真验证，TM-VDA能够很好地完成对目标的跟踪．特别是在密集杂波环境下误跟踪率较PDA大大降低。
英文摘要：
Aiming at solving the problem of target tracking in high-density clutter , remedying the deficiency of PDA that the correlation error ratio of is high in high-density clutter ,based on a deep analysis to the existent Viterbi data association algorithm , an expression which can calculate the association probability between two measurements is given and an Viterbi data association algorithm based on two measurements（TM-VDA） is presented. The simulation results show that TM-VDA can track the target very well . Compared with the correlation error ratio of PDA , that of TM-VDA could be reduced greatly in high-density clutter.
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