Then, a clutter suppression method based on Fuller kernel is studied.
最后，分析了基于恒虚警技术的剩余杂波处理方法。
This design is included radar signal acquisition and clutter suppression.
本设计主要包括雷达信号的采集和杂波抑制处理。
The new results obtained are helpful to design a adaptive, system for clutter suppression.
这些结果有助于设计自适应系统。
Three parts are included in this design: radar signal acquisition, clutter suppression and signal compression.
设计主要包括三部分：雷达信号的采集、杂波抑制处理以及信号的压缩。
A technology based on adaptive image clutter suppression for detecting dim point moving target is investigated.
一个微弱点运动目标检测的自适应图像杂波抑制技术的基础上进行了研究。
On hardware, signal acquisition and correlation processing is completed in FPGA, clutter suppression is achieved in DSP.
在硬件结构上，本设计采用FPGA完成信号的采集和相关处理，采用DSP实现杂波抑制处理。
Adaptive MTI techniques used in radar signal processing, that is, moving clutter suppression to radar echo signal is discussed.
讨论雷达信号处理中的自适应动目标显示技术，即雷达回波信号中的运动杂波抑制问题。
A computationally efficient Space-Time Adaptive Processing (STAP) method for clutter suppression in airborne MIMO radar is proposed.
该文针对机载MIMO雷达杂波抑制问题，提出一种低复杂度的空时自适应处理(STAP)方法。
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。
This paper introduces the pulse compression, side lobe cancellation, clutter suppression, pulse accumulation and CFAR of coherent Radar signal processing.
本文介绍了脉冲压缩、旁瓣抑制、杂波处理、多脉冲积累以及恒虚警检测等雷达信号处理技术。
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。
Finally, the performance of jamming suppression methods is compared through simulation, and the computational load of jamming and clutter suppression methods is presented.
最后，通过仿真实验比较了各种抗压制性噪声干扰方法的干扰抑制性能，并给出了两种典型抗压制性噪声干扰方法的运算量。
This paper studies the design of pulse repetition frequency of an X-band height-finding radar for clutter suppression and presents an algorithm for fuzzy distance solution.
本文首先从杂波抑制着手，研究X波段测高雷达脉冲重复频率的设计，在此基础上设计一种解距离模糊的展开算法。
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。
Currently developed methods do not perform well for short-range clutter suppression of non-side-looking arrays. This paper presents an algorithm based on eigenspace adaptive beamforming technique.
针对非正侧视阵在俯仰向抑制近程杂波时算法效果不佳的问题，文中提出了一种基于特征空间自适应波束形成的近程杂波抑制算法。
The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.
低信噪比条件下点目标的检测性能在很大程度上依赖于对红外背景杂波的抑制情况。
The inherent distance ambiguity of pulse Doppler radar increases the requirement of Doppler filter group to the clutter-suppression ability.
脉冲多普勒雷达的固有距离模糊，增大了多普勒滤波器组对杂波抑制能力的要求。
The key task of airborne early warning (AEW) radar is to find and track targets in a complicated background, so the suppression of interference and clutter in radar system is of great importance.
机载预警雷达的核心任务就是在复杂的背景环境中发现并跟踪目标，因此，抑制杂波和干扰就是关键。
In order to detect the weak targets from clutter background, the background suppression of IR image is necessary.
为了检测出起伏背景下的弱小目标，需要对红外图像进行背景抑制。
Secondly, the technique of adaptive clutter estimation and suppression based on quasi-stationary sub-image partition is discussed and its computer simulations are completed.
针对基于四叉树分割的准平稳区域划分方法精度不高的问题，给出了一种基于分水岭分割的准平稳子域划分方法。
Secondly, the technique of adaptive clutter estimation and suppression based on quasi-stationary sub-image partition is discussed and its computer simulations are completed.
针对基于四叉树分割的准平稳区域划分方法精度不高的问题，给出了一种基于分水岭分割的准平稳子域划分方法。
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