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本文提出一种自适应数字滤波方案,用斜格结构来自适应地预测和消除雷达杂波,使用了Burg算法计算斜格系数。这种方法是直接从雷达数椐来计算最小相位型预测误差滤波器,它没有许多滤波方案中通常所有的端点偏置(end—bias)问题。这就允许能很快地适应变化的杂波条件。积累衰减常数使滤波器自动地对着较宽的信号(杂波),而让较短的信号(目标)通过。本文描述了滤波器的设计,并讨论了实验结果。
In this paper, an adaptive digital filtering scheme is proposed, which uses oblique lattice structure to adaptively predict and eliminate radar clutter. The Burg algorithm is used to calculate the slope coefficient. This method calculates the minimum phase-type prediction error filter directly from the radar number 它, which does not have all the usual end-bias problems of many filtering schemes. This allows to quickly adapt to changing clutter conditions. The accumulation of attenuation constants allows the filter to automatically confront wider signals (clutter) while allowing shorter signals (targets) to pass. This article describes the design of the filter and discusses the experimental results.