NDLI: Automatic recognition of ground radar targets based on target RCS and short time spectrum variance

Content Provider	IEEE Xplore Digital Library
Author	Liaqat, S. Khan, S.A. Ihsan, M.B. Asghar, S.Z. Ejaz, A. Bhatti, A.I.
Copyright Year	2011
Description	Author affiliation: Department of Electronics Engineering, Muhammad Ali Jinnah University, Islamabad, Pakistan (Bhatti, A.I.) \|\| College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan (Liaqat, S.; Khan, S.A.; Ihsan, M.B.; Asghar, S.Z.; Ejaz, A.)
Abstract	This paper presents a novel feature vector to be used with a robust automatic target recognition (ATR) classifier designed for a ground surveillance radar. A three element feature vector has been used where features are based on radar audio signal of 100 milliseconds duration. The short feature length allows fast real-time implementation of the classifier. Classification is done using a k-nearest neighbor (k-NN) classifier. There are two input classes to the classifier; automobile and pedestrian. Training has been done on real radar data. Classifier performance has been tested using test data from two different data sets. It has been demonstrated that in both cases, the overall classifier performance is above 80%.
Starting Page	164
Ending Page	167
File Size	1239989
Page Count	4
File Format	PDF
ISBN	9781612849195
e-ISBN	9781612849225
DOI	10.1109/INISTA.2011.5946127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Micro Doppler phenomenon Radar cross section Automatic target recognition Support vector machine classification Classification Feature extraction Doppler radar Doppler effect Automobiles Radar audio signal K-nearest neighbour Ground surveillance radar
Content Type	Text
Resource Type	Article

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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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