In the end, this dissertation analyzes and compares the ground clutter suppression performance of the time and frequency domain filtering.
最后，本文对地物杂波时域与频域的抑制性能进行了分析与比较。
Using the actual collected radar echo signals, we analyze the ground clutter suppression performance of the adaptive Gaussian frequency filter.
针对实际采集的雷达回波信号，分析了自适应高斯频域滤波器的地物杂波抑制性能。
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。
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。
This dissertation studies the ground clutter suppression of ABSR. Because low pulse repetition frequency (LPRF) and low side-lobe antennaare adopted, we focus on main-lobe clutter suppression.
本文主要研究机载战场侦察雷达的地杂波抑制，由于采用了低脉冲重复频率和低副瓣天线，我们主要考虑主杂波的抑制。
The key to the settlement of the question of effective detection of ground and low air targets lies in adaptive of effective clutter suppression in airborne Radar.
因此，有效地抑制这种时间非平稳和空间非平均的杂波干扰是雷达系统有效完成地面目标和低空飞行目标检测必须解决的首要问题。
In this paper a method of detecting slow-moving ground targets using array antenna based on adaptive beamforming and Clutter Suppression Interferometry (CSI) is presented.
提出一种将自适应波束形成技术和杂波抑制干涉(CSI)技术相结合的阵列天线动目标检测方法。
In this paper a method of detecting slow-moving ground targets using array antenna based on adaptive beamforming and Clutter Suppression Interferometry (CSI) is presented.
提出一种将自适应波束形成技术和杂波抑制干涉(CSI)技术相结合的阵列天线动目标检测方法。
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