Journal
IET RADAR SONAR AND NAVIGATION
Volume 13, Issue 4, Pages 573-583Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rsn.2018.5324
Keywords
radar detection; clutter; object detection; Weibull distribution; signal detection; radar clutter; point-like targets interference; sparsity regularisation; target minority; detection background; conventional detectors; constant false alarm rate detector; multitarget interfering Weibull clutter; constant false alarm rate detection algorithm; nonhomogeneous Weibull clutter
Ask authors/readers for more resources
In this study, the authors propose a new constant false alarm rate detection algorithm in the non-homogeneous Weibull clutter caused by point-like targets interference. In their algorithm, sparsity regularisation is imposed on the target, which makes use of the target minority in detection background. On the basis of the regularised estimate of outliers, the indicator function is introduced to select the clean samples out of the background to estimate the distribution parameters, which further improves the robustness of the proposed detector. Simulation and experimental results verify the performance of the proposed detector which illustrates its superiority by making a comparison with the conventional detectors.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available