In this paper, an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
The Parametric Adaptive Matched Filter (PAMF) is a good method for the Ground Moving Target Indication (GMTI) of bistatic airborne radars.
在双基机载雷达的地面动目标检测中，参数自适应匹配滤波器(PAMF)方法是一种很有效的方法。
The new algorithm outperforms the previously proposed multiband adaptive normalized matched filter algorithm.
该算法的检测性能优于以前提出的多频带归一化匹配滤波器算法。
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