This paper develops a new complex-valued multichannel fast Kalman algorithm for these cases.
本文导出了一种适用于这种情况的复值多路快速卡尔曼算法。
In the cases where the fast convergence and tracking behaviors are required, the LMS algorithm and the conventional fast Kalman algorithm are not suitable.
在要求快速收敛和跟踪的场合下，lms算法及常规的快速卡尔曼算法均不适用。
The applications of the Kalman filtering algorithm in data processing (range and speed) of quasi continuous wave radar are studied. A new adaptive Kalman algorithm is realized.
主要完成卡尔曼滤波在准连续波雷达数据处理(距离和速度)中算法应用研究，实现一种新型自适应卡尔曼滤波算法。
The classical data fusion algorithm-Kalman algorithm needs a tight choice of the parameters, any improper choice may result in great error and lead to bad effect of the algorithm.
传统的数据融合算法-卡尔曼滤波算法，在参数选择上要求较高，选择不当即导致较大误差，影响算法效果。
Based on beam control technology of one-dimension phased-array fuze, the paper deduced the optimal burst Angle and burst delay algorithm and researched an improved Kalman algorithm.
基于一维相控阵引信的波束控制技术，推导了最佳起爆角和起爆延时算法，并研究了一种改进卡尔曼滤波方法在此算法中的应用。
Based on beam control technology of one-dimension phased-array fuze, the paper deduced the optimal burst Angle and burst delay algorithm and researched an improved Kalman algorithm.
基于一维相控阵引信的波束控制技术，推导了最佳起爆角和起爆延时算法，并研究了一种改进卡尔曼滤波方法在此算法中的应用。
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