NDLI: Switching CA/OS CFAR using neural network for radar target detection in non-homogeneous environment

Content Provider	IEEE Xplore Digital Library
Author	Rohman, B.P.A. Kurniawan, D. Miftahushudur, M.T.
Copyright Year	2015
Description	Author affiliation: Res. Center for Electron. & Telecommun., Indonesian Inst. of Sci., Bandung, Indonesia (Rohman, B.P.A.; Kurniawan, D.; Miftahushudur, M.T.)
Abstract	This paper presents the switching CA/OS CFAR using neural network for improving the radar target detection in non-homogeneous environment. This method uses one of between CA-CFAR and OS-CFAR as output threshold depends on the nearest value with the output of neural network. The neural network used in this research is the Multi-Layer Perceptron (MLP) consisted of two hidden layers. The input of neural network was as many as 3 consisted of CA and OS CFAR and Cell Under Test (CUT) value. The pattern of those inputs will be classified and recognized by the neural network by the training to calculate the preliminary threshold. That threshold will be compared to CA and OS CFAR to select the best final threshold. The method was examined with three simulated common radar cases including homogeneous background, multi target and clutter wall environment. The experiments show that the proposed method is capable to select properly based on the best performance of both CA and OS CFAR in homogeneous and non-homogeneous environments.
Starting Page	280
Ending Page	283
File Size	888795
Page Count	4
File Format	PDF
ISBN	9781467393447
e-ISBN	9781467393454
DOI	10.1109/ELECSYM.2015.7380855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-29
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ordered Statistics (OS) Radar detection Switches Detectors Multi-layer perceptron (MLP) Neural network Constant False Alarm Rate (CFAR) Clutter Biological neural networks Switching Cell Averaging (CA)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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