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。
A new multi-threshold frequency domain constant false alarm rate detection algorithm for radar fuse was presented.
提出了一种新的雷达引信多门限频域恒虚警率检测算法。
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.
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。
In this paper, a constant false alarm rate detection algorithm for optical and infrared small targets in a heavy clutter background is introduced.
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。
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.
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。
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。
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 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。
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。
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。
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