最后，分析了基于恒虚警技术的剩余杂波处理方法。
Then, a clutter suppression method based on Fuller kernel is studied.
提出了一种新的雷达引信多门限频域恒虚警率检测算法。
A new multi-threshold frequency domain constant false alarm rate detection algorithm for radar fuse was presented.
研究了在韦布尔背景下一种基于OD V的恒虚警检测器。
CFAR detector based on ODV was studied under weibull background.
恒虚警(CFAR)检测是雷达信号处理的重要组成部分。
The constant false alarm rate (CFAR) detection of radar signal plays an important role in radar signal processing.
研究了复合高斯杂波环境中多频带相干雷达自适应恒虚警检测问题。
The problem of multiband coherent radar adaptive constant false alarm rate (CFAR) detection against a compound-gaussian clutter background is investigated in this paper.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important part in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important unit in radar signal processing.
提出一种新的基于有序统计的恒虚警检测器和一种新的自动筛选技术。
This paper presents a new CFAR detector based on ordered statistic and a new automatic censoring technique.
这种新的检测器是广义有序统计单元平均（GOSCA）恒虚警算法。
This new detector is a generalized ordered statistic cell averaging (GOSCA )CFAR processpr.
然后提出自适应门限杂波图恒虚警处理器及相干杂波图恒虚警处理器。
Then the adaptive threshold clutter map CFAR processor and coherent clutter map CFAR processor are suggested.
雷达信号的恒虚警率(CFAR)处理是现代雷达信号处理的重要内容。
The constant false alarm rate (CFAR) processing of radar signal is an important item of modern radar signal processing.
介绍了一种强杂波条件下对可见光和红外小目标进行检测的恒虚警率算法。
In this paper, a constant false alarm rate detection algorithm for optical and infrared small targets in a heavy clutter background is introduced.
研究有序统计选大(osgo)恒虚警检测器在K分布杂波边缘中的性能。
The performance of the Ordered Statistic with Greatest Option CFAR (OSGO-CFAR) detector in K-distribution clutter edge is studied.
文中研究有序统计平均(osca)恒虚警检测器在K分布杂波边缘中的性能。
The performance of ordered statistic with cell averaging (OSCA) CFAR detector under K-distribution clutter edge situation was studied.
有序统计恒虚警率处理(OS- CFAR)是现代雷达信号处理的一种重要方法。
The Order Statistics Constant Alarm False Rate (OS CFAR) processing is an important method in modern radar signal processing.
本文阐述了极性采样倒相编码数字脉冲压缩处理器的非参量恒虚警率（CFAR）特性。
The nonparametric constant false alarm rate (CFAR) property of digital polarity sampled phase reversal coded pulse compressors is described.
再利用恒虚警、脉冲积累等技术可以在一定程度上解决前面提到的不可分辨目标的检测问题。
Then, using the stationary false alarm and pulse accumulation technique could solve the detection problem of unresolved targets in a certain extent.
对这种新的恒虚警算法在斯威林2型目标假设下，我们获得了虚警和探测概率的解析表达式。
For this new CFAR detector we obtain analytic expressions of the false alarm rate and detection probabilities un-der the Swerling 2 assumption.
为了实现复杂背景下的弱小目标恒虚警检测，提出了一种基于CEM算法的恒虚警探测算法。
To detect a small dim target in the clutter background, a CFAR method based on the CEM algorithm is described.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
该文根据恒虚警率(CFAR)检测器确定roi区域，利用JPEG2000算法进行压缩。
This paper chooses ROI by constant false alarm ratio (CFAR) detector, then compresses the image by JPEG2000 algorithm.
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。
This paper introduces the pulse compression, side lobe cancellation, clutter suppression, pulse accumulation and CFAR of coherent Radar signal processing.
其次，在研究杂波统计模型得到的结论的指导下，系统研究了恒虚警率（CFAR）目标检测算法。
Secondly, we systematically study the CFAR target detection algorithm with the guide of the conclusion gained from the research of the clutter statistical models.
本文介绍了一种用剩余杂波图技术自适应调整恒虚警门限，用来抑制MTD处理后的气象杂波剩余。
This paper introduces an approach to restrain the weather clutter residue after MTD processing that is the residual clutter pattern and adaptive threshold adjustment technology.
基于无偏最小方差估计(UMVE)算法，提出了一种新的恒虚警检测器(UMVEM - CFAR)。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
基于模糊逻辑，无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.
该方法采用传统的恒虚警率（CFAR）检测方法，但其门限设置是基于沿距离和多普勒单元功率谱值的回归分析。
It uses a conventional constant false-alarm-rate(CFAR) detection procedure but the thresholding scheme is based on regression analysis of power spectrum values along range and Doppler cells.
对分布式恒虚警（CFAR）检测系统，特别是分布式统计排序（OS）CFAR检测系统的研究，往往局限于较为理想的简单条件。
The former studies on distributed constant false alarm rate (CFAR) detection, especially for distributed ordered statistics (OS) CFAR detection, are limited on simple ideal conditions.
针对恒虚警(CFAR)处理器在多分布类型杂波中的应用背景，分析了杂波分布检验恒虚警(CT -CFAR)处理器的检测性能。
In view of the applied background of CFAR processor in multi-distribution clutter, the detection performances of the clutter distribution test CFAR (CT-CFAR) are investigated.
仿真结果表明，周期斜率方差检测器是一种恒虚警概率检测器，在较低信噪比下可有效检测双曲调频信号，并对多普勒失配有很好的适配性。
The simulation result shows that VPSD is a kind of constant false alarm rate detector, which can detect HFM signal effectively in low SNR, and can adapt to the Doppler mismatch very well.
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