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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
它包括点数可变的自适应动目标显示(AMTI)，数字脉压(DPC)，动目标检测器(MTD)，数字积累(DI)和恒虚警率处理(CFAR)。
It is composed of adaptive MTI (AMTI) with variable number of pulses, digital pulse compression (DPC), moving target detector (MTD), digital integration (di) and constant false alarm rate (CFAR).
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.
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.
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.
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.
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.
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