摘要
本文研究了基于正交多项式拟合的回归滤波器。由于地物杂波变化缓慢,将输入信号投影到低阶多项式子空间可以很好的拟合地物杂波,进而形成一个在零频附近的带凹槽的高通滤波器。回归滤波器的频率响应仅和对信号的采样点数与正交多项式最大阶的阶数有关,通过仿真,回归滤波器对零频附近的地物杂波有明显的抑制效果,且其抑制性能优于五阶的IIR椭圆滤波器。
Regression filter based on orthogonal polynomial fitting is explored. Because variation of ground clutter is slow, input signals can be projected to low-order polynomial to achieve perfect fitting of ground clutter, then a highpass filter with a notch at about 0Hz is obtained. Frequency response of regression filter is related to the number of samples and the maximum order of orthogonal polynomials. Simulation results show that the regression filter can reject ground clutter at about 0Hz significantly, and its suppression performance is better than fifth-order infinite impulse response （IIR） elliptic filter.
出处
《火控雷达技术》
2014年第1期38-41,共4页
Fire Control Radar Technology
关键词
地杂波抑制
正交多项式拟合
回归滤波器
ground clutter canceling
orthogonal polynomial fitting
regression filter
