Characteristic polarization states estimation in an ultrawideband context: A frequency approach

Aldhubaib, Faisal and Shuley, Nicholas, V. Z. (2009) Characteristic polarization states estimation in an ultrawideband context: A frequency approach. IEEE Transactions on Geoscience and Remote Sensing, 47 8: 2808-2817. doi:10.1109/TGRS.2009.2014564


Author Aldhubaib, Faisal
Shuley, Nicholas, V. Z.
Title Characteristic polarization states estimation in an ultrawideband context: A frequency approach
Journal name IEEE Transactions on Geoscience and Remote Sensing   Check publisher's open access policy
ISSN 0196-2892
Publication date 2009-08-01
Sub-type Article (original research)
DOI 10.1109/TGRS.2009.2014564
Open Access Status
Volume 47
Issue 8
Start page 2808
End page 2817
Total pages 10
Editor Christopher Ruf
Place of publication USA
Publisher IEEE
Language eng
Subject 090699 Electrical and Electronic Engineering not elsewhere classified
810199 Defence not elsewhere classified
C1
Abstract The concept of characteristic polarization states (CPSs) is extended to an ultrawideband (UWB) context. This is achieved by a sparse representation of the target UWB scattering spectrum by a set of frequency bands associated with the target natural resonance modes. The polarization description involves using the average power within each resonant frequency band to derive the Kennaugh power matrix and, subsequently, a set of CPSs using the Lagrangian optimization procedure. To validate this, preliminary feature sets are formed by extracting robust information from each derived CPS and then implementing a correlation measure criterion from which the relationships between these preliminary feature sets as a function of resonance order are established. These relationships are invariant to range and target orientation about the radar-target direction and are robust to noise.
Keyword Characteristic polarization states (CPSs)
SCATTERING MATRIX
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Thu, 03 Sep 2009, 17:47:47 EST by Mr Andrew Martlew on behalf of School of Information Technol and Elec Engineering