NDLI: Performance evaluation of RQ non-parametric CFAR detector in multiple target and non-uniform clutter

Content Provider	IET Digital Library
Author	Meng, Xiangwei
Abstract	The performance analysis of the rank quantisation (RQ) non-parametric constant false alarm rate (CFAR) detector in homogeneous and non-homogeneous backgrounds is carried out. A closed-form expression of the false alarm rate of the RQ detector at clutter edges is derived. It is shown that the RQ detector pays an additional loss of about 3 dB in detection performance relative to the cell averaging (CA)-CFAR with incoherent integration in homogeneous background, but it can accommodate a number of strong interfering targets within the reference window. When both of the heavy and the weak clutters follow a Rayleigh distribution, the rise of false alarm rate for the RQ detector at clutter edges lies between that of the CA-CFAR and the ordered statistic (OS)-CFAR with incoherent integration. If the Weibull distributed clutter with a long tail moves into the reference window, the rise of the false alarm rate of the CA-CFAR, the OS-CFAR and the greatest-of-CFAR with incoherent integration reaches a peak of more than three orders of magnitude, and cannot return to the original design P fa. However, the RQ detector reveals its inherent virtue that it can maintain a CFAR despite the changes in the underlying distributions of observed data.
Starting Page	415
Ending Page	424
Page Count	10
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 3, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2019.0472
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-12-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CA-CFAR Cell Averaging-CFAR Clutter Clutter Edges Detection Performance Homogeneous Background Incoherent Integration Nonhomogeneous Backgrounds Nonuniform Clutter Ordered Statistic-CFAR OS-CFAR Performance Evaluation Probability Radar Clutter Radar Detection Radar Equipment Rank Quantisation Nonparametric Constant False Alarm Rate Detector Reference Window RQ Detector RQ Nonparametric CFAR Detector Signal Detection Statistics System And Application Target Tracking Weak Clutters Weibull Background Weibull Distribution
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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