This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.

本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。

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The whole algorithm conformation is very skilled. Because the number of kalman filter is lesser, algorithm is real-time, and robust.

算法构造巧妙，由于使用了较少的卡尔曼滤波器，算法实时性好，鲁棒性更好。

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The simulation results show that the adaptive Kalman filtering algorithm can track the maneuvering target, and it is characterized by high accuracy, good stability and quick convergence.

仿真结果表明，该算法可以较好地跟踪机动目标，具有精度高、稳定好、收敛快等特点。

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