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Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety

Being equipped with a millimeter-wave radar allows a low-flying helicopter to sense the surroundings in real time, which significantly increases its safety. However, nonhomogeneous clutter environments, such as a multiple target situation and a clutter edge environment, can dramatically affect the r...

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Detalles Bibliográficos
Autores principales: Jiang, Wen, Huang, Yulin, Yang, Jianyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970102/
https://www.ncbi.nlm.nih.gov/pubmed/27399714
http://dx.doi.org/10.3390/s16071055
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author Jiang, Wen
Huang, Yulin
Yang, Jianyu
author_facet Jiang, Wen
Huang, Yulin
Yang, Jianyu
author_sort Jiang, Wen
collection PubMed
description Being equipped with a millimeter-wave radar allows a low-flying helicopter to sense the surroundings in real time, which significantly increases its safety. However, nonhomogeneous clutter environments, such as a multiple target situation and a clutter edge environment, can dramatically affect the radar signal detection performance. In order to improve the radar signal detection performance in nonhomogeneous clutter environments, this paper proposes a new automatic censored cell averaging CFAR detector. The proposed CFAR detector does not require any prior information about the background environment and uses the hypothesis test of the first-order difference (FOD) result of ordered data to reject the unwanted samples in the reference window. After censoring the unwanted ranked cells, the remaining samples are combined to form an estimate of the background power level, thus getting better radar signal detection performance. The simulation results show that the FOD-CFAR detector provides low loss CFAR performance in a homogeneous environment and also performs robustly in nonhomogeneous environments. Furthermore, the measured results of a low-flying helicopter validate the basic performance of the proposed method.
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spelling pubmed-49701022016-08-04 Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety Jiang, Wen Huang, Yulin Yang, Jianyu Sensors (Basel) Article Being equipped with a millimeter-wave radar allows a low-flying helicopter to sense the surroundings in real time, which significantly increases its safety. However, nonhomogeneous clutter environments, such as a multiple target situation and a clutter edge environment, can dramatically affect the radar signal detection performance. In order to improve the radar signal detection performance in nonhomogeneous clutter environments, this paper proposes a new automatic censored cell averaging CFAR detector. The proposed CFAR detector does not require any prior information about the background environment and uses the hypothesis test of the first-order difference (FOD) result of ordered data to reject the unwanted samples in the reference window. After censoring the unwanted ranked cells, the remaining samples are combined to form an estimate of the background power level, thus getting better radar signal detection performance. The simulation results show that the FOD-CFAR detector provides low loss CFAR performance in a homogeneous environment and also performs robustly in nonhomogeneous environments. Furthermore, the measured results of a low-flying helicopter validate the basic performance of the proposed method. MDPI 2016-07-08 /pmc/articles/PMC4970102/ /pubmed/27399714 http://dx.doi.org/10.3390/s16071055 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Wen
Huang, Yulin
Yang, Jianyu
Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title_full Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title_fullStr Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title_full_unstemmed Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title_short Automatic Censoring CFAR Detector Based on Ordered Data Difference for Low-Flying Helicopter Safety
title_sort automatic censoring cfar detector based on ordered data difference for low-flying helicopter safety
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970102/
https://www.ncbi.nlm.nih.gov/pubmed/27399714
http://dx.doi.org/10.3390/s16071055
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