以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。

Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.

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采用最小方差理论和平均原理对自适应滤波算法进行分析，对信号中产生的延时和相移予以有效补偿。

By using minimum variance and average principle, the adaptive filtering algorithm is analyzed to effectively compensate the time-delay and phase shift that appear in signals.

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主要介绍信号平均技术和自适应滤波技术，并给出算法。

Signal averaging and adaptive filtering techniques were introduced and the algorithms were given.

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