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.
该文研究了杂波干扰下适用于平面机动目标实时定位的粒子滤波器的设计和实现。
This paper studies the design and implementation method of particle filters suitable for the plane maneuvering targets real time tracking.
本文针对雷达杂波抑制中常用的时变级联滤波器，提出了两种实用的设计方法。
Two approaches to the design of the time-varying cascaded filters used in radar clutter rejection are presented.
提出了一种结合粒子滤波器和吉布斯采样器的多机动目标跟踪算法，可以很好地解决在杂波环境下的多机动目标跟踪问题。
So a new multitarget tracking algorithm is proposed, which combines the particle filter and the Gibbs sampler, and can track maneuvering multitarget in cluttered environment very.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
A small target detection method using Kalman filter as the clutter background prediction was presented.
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 inherent distance ambiguity of pulse Doppler radar increases the requirement of Doppler filter group to the clutter-suppression ability.
参差时变动目标显示(MTI)滤波器是在强运动杂波背景下检测弱目标和缓解盲速问题的一种有效方法。
The optimal stagger time-variant MTI filter is an effective method to detect weak target in strong moving clutters and alleviate the blind speed problem.
通过RLS自适应滤波器，背景杂波分量被准确地预测并从输入信号中去除，从而只剩下目标信号与残留噪声。
The clutter is predicted exactly and subtracted from the input signal by RLS adaptive filter, leaving components of the target signal in the residual noise.
为了检测平稳海杂波中的低速弱目标，本文引入杂波白化处理模块取代雷达常用的MT I滤波器和多普勒滤波器组。
In order to detect the low-speed weak target in the stationary sea clutter, the clutter-whitening processing module is proposed to replace the conventional MTI filter and Doppler filter bank.
该方法利用AR模型逼近杂波谱“倒置”理想带通滤波器的频率响应，实现了最优FIR滤波器的设计。
The method utilizes an AR model to approach the frequency response of the clutter spectrum "inverted" ideal band-pass filter, and then implements the design of optimal FIR filter.
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。
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.
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。
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.
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 the actual collected radar echo signals, we analyze the ground clutter suppression performance of the adaptive Gaussian frequency filter.
具有杂波抑制特性的带通滤波器不仅可以实现这个功能，同时由于抑制了杂波还可以提高带通滤波器的通带对称性以及高端阻带的衰减特性。
The bandpass filter that has spurious suppression characteristics can solve this problem and it has excellent bandpass symmetry and stopband attenuation characteristics at high frequency.
该滤波器能够有效滤除海浪杂波的干扰，获得高质量的高度信号和垂向速度信号。
With the estimation of the zero drift of accelerometer, the precision of the vertical velocity and height can be improved and the measurement of the acceleration can be got without zero drift.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
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