The paper constructed every level information fusion models firstly, and put emphasis on position level fusion and identification level fusion arithmetic.
本文在建立各级信息融合模型的基础上，重点讨论了位置级融合和目标识别级融合的算法。
In object identification level object identification fusion based on D-S proof theory was discussed, performance analyzing is found that the arithmetic did not need probability distribution.
在目标识别级重点讨论了基于D - S证据理论的目标识别融合，通过性能分析可知该算法具有不需要先验概率和条件概率密度等优点。
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