NDLI: The HF surface wave radar WERA. Part II: Spectral analysis of recorded data

Content Provider	IEEE Xplore Digital Library
Author	Maresca, S. Greco, M. Gini, F. Grasso, R. Coraluppi, S. Thomas, N.
Copyright Year	2010
Description	Author affiliation: NATO Undersea Research Centre, viale S. Bartolomeo 400, 19126 La Spezia (SP), Italy (Grasso, R.; Coraluppi, S.) \|\| SAS ActiMar, 36 Quai de la Douane, 29200 Brest, France (Thomas, N.) \|\| Dept. of Information Engineering, University of Pisa, via G. Caruso 16, 56122 Pisa (PI), Italy (Maresca, S.; Greco, M.; Gini, F.)
Abstract	This paper covers the second part of the analysis of data recorded by the surface wave (SW) over-the-horizon (OTH) WEllen RAdar (WERA). Data were collected by two WERA systems, on May 13th 2008, during the NURC experiment in the Bay of Brest, France. The principal aim of this work is to provide an accurate characterization of the spectral components of the received signal. Secondly, this information is exploited in order to provide a simple and reliable spectral modeling tool. For this reason, auto-regressive (AR) models, also known as linear prediction (LP) models have been investigated. Our results show that at long distances, when the clutter-to-noise power ratio (CNR) is small, the main components of the spectrum can be reasonably described by an AR(12) model, with a good compromise between accuracy and simplicity. As the CNR increases higher-orders are instead to be preferred.
Starting Page	969
Ending Page	974
File Size	1047776
Page Count	6
File Format	PDF
ISBN	9781424458110
ISSN	10975659
e-ISBN	9781424458127
DOI	10.1109/RADAR.2010.5494480
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hafnium Surface waves Spectral analysis Radar scattering Sea surface Electromagnetic scattering Marine vehicles Spaceborne radar Electromagnetic interference Clutter
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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