Paper Info
Title
Three GLRT detectors for range distributed target in grouped partially homogeneous radar environment.
Abstract
In this paper, we consider the range distributed target detection in partially homogeneous (PH) clutter which displays different statistical properties in adjacent range cells. We propose a group method that adjacent cells with slightly varying statistics are divided into a group. Given the cells group effects on deducing the generalized likelihood ratio test (GLRT), three detectors: one-step group GLRT (1S-G-GLRT), maximum a posteriori estimation group GLRT (MAP-G-GLRT) and two-step group GLRT (2S-G-GLRT) are developed. It is verified that the 1S-G-GLRT and 2S-G-GLRT are constant false alarm rate (CFAR) with respect to the scale parameter of texture and the estimated speckle covariance matrix. The experiments show that, in the simulated clutter, the three proposed detectors behave approximately similarly, all of them outperforming three existing detectors remarkably despite the effects of target models and group strategies. In the real clutter, the 1S-G-GLRT and MAP-G-GLRT have advantages over the detectors without grouping in PH real clutter. We propose a group strategy for clutter under test because the textures of compound Gaussian clutter behave statistically different in adjacent cells.Given the cells group effects on deducing the GLRT, we propose three detectors: 1S-G-GLRT, MAP-G-GLRT and 2S-G-GLRT, and verify their CFARnesses to the scale parameter of texture and to the estimated speckle covariance matrix.The three proposed detectors outperform three existing detectors remarkably in the simulated clutter, and the 1S-G-GLRT and MAP-G-GLRT behave best in the real clutter.
Year
DOI
Venue
2017
10.1016/j.sigpro.2016.12.030
Signal Processing
Keywords
Field
DocType
Group GLRT,Target detection,Partially homogeneous sea clutter,Radar
Speckle pattern,Likelihood-ratio test,Clutter,Control theory,Algorithm,Covariance matrix,Constant false alarm rate,Maximum a posteriori estimation,Statistics,Mathematics,Scale parameter,Covariance
Journal
Volume
Issue
ISSN
135
C
0165-1684
Citations 
PageRank 
References 
0
0.34
17
Authors
1
Name
Order
Citations
PageRank
Yanling Shi153.88