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修正D-S证据组合方法及其在目标识别中的应用 被引量:8

An Improved Dempster-Shafer Algorithm and Its Application to Target Recognition
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摘要 在多传感器信息融合算法中 ,Dempster-Shafer证据理论得到了广泛应用 ,但该理论本身也存在一些不足之处。针对这种情况 ,提出了 D-S证据组合中“与”算子的一种改进方法 ,并进行了仿真。仿真结果表明 ,所提出的算法能够有效排除干扰 ,得出符合实际的组合结果。 Dempster Shafer evidence theory, one of multi sensor data fusion algorithms, has been widely used. However, it also has some shortcomings. D S evidence combination can not proceed if the evidence totally collides with each other. In addition, the combination result can not keep accord with the real condition when the evidence seriously conflicts. To solve this problem, this paper puts forward a new AND operator of D S evidence combination and gives a simulation result. It shows that the approach can eliminate disturbance. And the combination result satisfies the practical situation.
作者 李华 史忠科
出处 《飞行力学》 CSCD 2002年第1期63-66,共4页 Flight Dynamics
基金 国家杰出青年基金资助课题 (6992 5 3 0 6)
关键词 D-S证据组合 目标识别 多传感器信息融合算法 Dempster Shafer evidence data fusion multisensor target recognition
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参考文献3

  • 1Lotfi A Zadeh.A simple view of the Dempster Shafer theory of evidence and its implication for the rule of combination[].The AI Magazine.1986
  • 2Lang Hong,Andrew Lynch.Centralized distributed recursive algorithms for information fusion by Dempster -Shafer techniques with application to target identification[].IEEE Translation on Aerospace Electronic System.1992
  • 3Glenn Shafer.A mathematical theory of evidence[]..1976

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