Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.

引入基于模型误差最小准则的预测滤波算法，实现对未知扰动的实时辨识与估计，克服模型误差影响。

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For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.

算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。

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A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.

提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。

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