This paper advances an adaptive data filtering method, which USES the lattice structure to predict and estimate radar clutters. The calculation of the lattice coefficient adopts the Burg method.
本文提出了一种自适应的数字滤波方法，它是利用格型结构来预测和估计雷达杂波，而格型系数的计算采用了伯格算法。
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 conclusion is that sequential filtering, parallel filtering and optimal data compress filtering can run after all kinds of track and the precision of tracking is better than radar.
针对匀速航路、匀加速航路和拐弯航路的数字仿真得出：序贯滤波、并行滤波和最优数据压缩滤波可以很好的跟踪目标且精度较单雷达跟踪有明显的改善。
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