该算法克服了由于载机本身机动对滤波器跟踪性能所造成的影响。
This algorithm overcomes the affection on filter tracking performance while the airplane is maneuvering.
该算法克服了DFS算法收敛性差和模拟退火(SA)算法收敛速度慢的缺点。
Compared with traditional DFS algorithm and simulated annealing (SA) algorithm, the proposed algorithm possesses better convergency and high convergence rate.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
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