Results 11 to 20 of about 7,204,358 (165)
Adaptive Constant False Alarm Detector Based on Composite Fuzzy Fusion Rules
In order to improve the detection performance of the radar constant false alarm detector in a multiple-target environment, a Kaigh–Lachenbruch Quantile constant false alarm rate detector based on composite fuzzy fusion rules (CFKLQ-CFAR) is designed by ...
Yuyao Yang, Chunbo Xiu
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An improved adaptive constant false alarm rate (CFAR) detector based on fuzzy theory is proposed to address the issue of poor detection performance and robustness of the variability index (VI) class CFAR detectors due to the misjudgment of the background
Xudong Yang, Chunbo Xiu
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False Alarm Analysis of the CATM-CFAR in Presence of Clutter Edge
This paper presents a false alarm analysis of the cell-averaging-trimmed-mean constant false alarm rate (CATM-CFAR) detector in the presence of clutter edge. Structure of the CATM-CFAR detector is described briefly.
D. Ivković, M. Andrić, B. Zrnić
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Wilcoxon Nonparametric CFAR Scheme for Ship Detection in SAR Image [PDF]
The parametric constant false alarm rate (CFAR) detection algorithms, which are based on various statistical distributions, such as Gaussian, Gamma, Weibull, log-normal, $G^{0}$, and alpha-stable distribution, are most widely used to detect the ship ...
Xiangwei Meng
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The performance of marine radar constant false alarm rate (CFAR) detection method is significantly influenced by the modeling of sea clutter distribution and detector decision rules. The false alarm rate and detection rate are therefore unstable.
Baotian Wen, Zhizhong Lu, Bowen Zhou
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An Adaptive Autogram Approach Based on a CFAR Detector for Incipient Cavitation Detection
Cavitation failure often occurs in centrifugal pumps, resulting in severe harm to their performance and life-span. Nowadays, it has become crucial to detect incipient cavitation ahead of cavitation failure.
Ning Chu +6 more
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Smallest Of-Order Statistic-CFAR Analysis in Weibull Clutter [PDF]
The performance of Cell Averaging Constant False Alarm Rate (CA-CFAR) degrades rapidly in nonideal conditions caused by the presence of a strong target signal in one of the reference cells.
Y. Ali
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Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments
A constant false alarm rate (CFAR) target detector in non-homogenous backgrounds is proposed. Based on K-sample Anderson-Darling (AD) tests, the method re-arranges the reference cells by merging homogenous sub-blocks surrounding the cell under test (CUT)
Yang Li +3 more
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A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
This article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data.
Rômulo Fernandes daCosta +3 more
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The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments [PDF]
The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix Ms of the secondary data is proportional to the covariance matrix Mp of the vector ...
Bidon, Stéphanie +2 more
core +1 more source

