NDLI: Time Reversal Target Classification from Scattered Radiation

Content Provider	IEEE Xplore Digital Library
Author	Jin, Yuanwei Moura, Jose M.F. Jiang, Yi Stancil, Dan O'Donoughue, Nick
Copyright Year	2007
Description	Author affiliation: Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA 15213 (Jin, Yuanwei; Moura, Jose M.F.; Jiang, Yi; Stancil, Dan; O'Donoughue, Nick)
Abstract	This paper proposed the M-ary hypothesis testing algorithm for classifying radar backscatter signals from hidden targets in a rich scattering environment using time reversal. The target recognition algorithm is to be designed to distinguish measurements of the radar backscatter from an unknown object as belonging to one of a set of M classes. The proposed time reversal target classifier is, in essence, a correlator that calculates the cross-correlation of the normalized target signature waveforms with a data dependent quantity obtained from measurements. The algorithm requires a priori empirical statistical knowledge of the scattering channel, which is dependent of configurations of the scatterers in the environment. By incorporating time reversal, the proposed algorithm provides a significant performance improvement compared with the conventional method. Proof of concept is provided using electromagnetic data collected in a laboratory environment.
Starting Page	317
Ending Page	321
File Size	448143
Page Count	5
File Format	PDF
ISBN	9781424411979
DOI	10.1109/SSP.2007.4301271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar scattering Electromagnetic scattering Backscatter Testing Target recognition Algorithm design and analysis Radar measurements Correlators Time measurement Electromagnetic measurements Regularization Time Reversal Target Classification M-ary Hypothesis Testing
Content Type	Text
Resource Type	Article

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