Using an actual collected radar signal, we change the orders of the regression filter from first-order to tenth-order and obtain the corresponding ground clutter suppression ratios.
在基于一组实际采集的雷达信号的基础上，给出了回归滤波器的地物杂波抑制比随着滤波器阶数的变化情况。
Through the study of the computational complexity of regression filter, the orthogonal polynomials which make the regression filter has the minimum computational complexity are found.
通过对回归滤波器的计算复杂度的研究，寻找使回归滤波器计算量最小的正交多项式。
From the orthogonal polynomials fit, this dissertation gives the basic theory of the regression filter for ground clutter suppression and the filtering process using a regression filter.
从正交多项式的拟合出发，给出了回归滤波器抑制地物杂波的基本原理及其滤波实现过程。
We analyze the frequency response characteristics of the regression filter and compare the computational complexity of regression filter with that of fifth-order elliptic IIR ground clutter filter.
分析了回归滤波器频率响应特性，比较了回归滤波器与IIR椭圆地物杂波滤波器的计算复杂度。
We analyze the frequency response characteristics of the regression filter and compare the computational complexity of regression filter with that of fifth-order elliptic IIR ground clutter filter.
分析了回归滤波器频率响应特性，比较了回归滤波器与IIR椭圆地物杂波滤波器的计算复杂度。
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