CFAR detector based on ODV was studied under weibull background.
研究了在韦布尔背景下一种基于OD V的恒虚警检测器。
This new detector is a generalized ordered statistic cell averaging (GOSCA )CFAR processpr.
这种新的检测器是广义有序统计单元平均（GOSCA）恒虚警算法。
The pretreatment of SAR images has been achieved by means of statistic characterization, CFAR detection.
它利用SAR图像所具有的统计特性、CFAR检测对SAR图像进行预处理。
The peak values in the transform area are detected by a maximum search integrating global CFAR detector.
在检测变换域峰值点时，采用了结合全局CFAR检测的最大值点搜索的方法；
This paper presents a new CFAR detector based on ordered statistic and a new automatic censoring technique.
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。
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.
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。
Then the adaptive threshold clutter map CFAR processor and coherent clutter map CFAR processor are suggested.
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。
To detect a small dim target in the clutter background, a CFAR method based on the CEM algorithm is described.
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。
Because of the complex and fluctuant background in radar, classical CFAR detection technology lose its stability.
由于雷达检测背景的复杂和起伏，经典CFAR检测不能保持稳定的检测性能。
A new CFAR detector (UMVEM-CFAR) based on Unbiased Minimum-variance Estimation (UMVE) is presented in this paper.
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)。
The constant false alarm rate (CFAR) detection of radar signal plays an important role in radar signal processing.
恒虚警(CFAR)检测是雷达信号处理的重要组成部分。
This paper chooses ROI by constant false alarm ratio (CFAR) detector, then compresses the image by JPEG2000 algorithm.
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。
The constant false alarm rate (CFAR) processing of radar signal is an important item of modern radar signal processing.
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 results show that the anti-clutter-edge performance of OSCAGO is obviously better than that of the three CFAR detectors.
结果表明，OSCAGO的抗边缘干扰性能比这三种CFAR检测器均有明显增强。
The Order Statistics Constant Alarm False Rate (OS CFAR) processing is an important method in modern radar signal processing.
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 performance of the Ordered Statistic with Greatest Option CFAR (OSGO-CFAR) detector in K-distribution clutter edge is studied.
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 ordered statistic with cell averaging (OSCA) CFAR detector under K-distribution clutter edge situation was 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 proposed detection algorithm ensures the constant false alarm rate (CFAR) in homogeneous and partially-homogeneous clutter background.
研究结果证明该算法在均匀杂波环境和局部均匀杂波环境都有恒虚警的性质。
The nonparametric constant false alarm rate (CFAR) property of digital polarity sampled phase reversal coded pulse compressors is described.
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。
We analyze its detection performance in homogeneous background and in the presence of strong interfering targets, and compare it to OS-CFAR.
在均匀背景和强干扰存在的情况下，分析了它的探测性能，并把它与OS - CFAR进行了比较。
While the CFAR method only using the local contract information is not symmetric, it has a high false alarm in the strong clutter environment.
而CFAR检测方法只利用了目标的局部对比度信息，不存在负值效应，但在强杂波环境中的检测结果存在很高的虚警。
For this new CFAR detector we obtain analytic expressions of the false alarm rate and detection probabilities un-der the Swerling 2 assumption.
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。
Noncoherent integration of pulses, integration between scans, CFAR and clutter map CFAR of anti-sea clutter signal processing way is put forward.
提出了脉间非相干积累、扫描间积累、CFAR、杂波图cfar等实现抗海杂波信号处理方法。
CFAR target detection method is proposed for nonhomogeneous environment in UWBSAR image with variability index and order-statistics CFAR detection.
针对UWBSAR图像中的非均匀背景目标检测问题，提出了一种CFAR检测方法。
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。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) 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)。
Secondly, we systematically study the CFAR target detection algorithm with the guide of the conclusion gained from the research of the clutter statistical models.
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。
The simulation results show the performance of CA-CFAR detector is good under uniform clutter, and is seriously descended under multi-target interference background.
结果表明，CA - CFAR检测器在均匀杂波中性能较好，但在多目标干扰环境中性能严重下降。
The problem of multiband coherent radar adaptive constant false alarm rate (CFAR) detection against a compound-gaussian clutter background is investigated in this paper.
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。
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