Data association technology is the key part in multi-sensor target tracking system and has a great significance for research. The efficiency of target tracking should be guaranteed first and the improvement of target tracking precision and reduction of the computation complexity are the key points. In the multiple clutters and multiple targets environment, due to the influence of such factors as measurement noise and sensor precision, the phenomenon of tracking precision error is so large that mistakenly tracking and tracking lost prone to happen. We put forward by using maximum fuzzy entropy to solve the computing dimension about the joint matrix and through the DS evidence theory on estimation measurement to improve the estimation precision of the target. The simulation results verify that the algorithm has advantages in terms of target tracking precision and computational complexity and has a certain practical value.
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