This simple method has higher correct association percent and smaller computational cost, and also utilize the measuring information fully.

该方法简单明了，关联正确率高，计算量小，同时充分利用了测量信息。

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Utilizing invariant, a new method are proposed, meanwhile least distance data association method is also analyzed and correct probabilities of data association are offered in the end.

提出了基于不变量的目标同一性识别方法，同时也分析了基于残差的数据关联方法，通过数字仿真对比了这两种方法的数据正确关联概率。

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With the help of computer simulations, the tracking initiation algorithm is proven to be correct and effective, and the data association algorithm is proven to be superior to the NN method.

借助计算机模拟，跟踪起始算法被证明是正确的，有效的，数据关联算法被证明是优于神经网络方法。

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