To improve the accuracy of tracking the complex maneuver target in cluttered environment, a new state estimation algorithm based on the expectation maximization (EM) algorithm is presented.

为了提高在杂波环境下跟踪强机动目标的精度，提出了一种新的基于期望极大化(EM)算法的机动目标状态估计方法。

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We resort to expectation maximization (EM) algorithm for both the estimation of model parameters and the coping with missing values.

这里，期望最大化算法既用来处理丢失值又用来估计模型参数。

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To overcome the overflow difficulty existing in HMT model, a scaling algorithm is developed to improve expectation maximization (EM) algorithm.

为了克服HMT模型存在的计算溢出困难，采用尺度变换对EM算法进行了改进。

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