NDLI: A comparison between the classical pulse compression and the improved WV-SMF-PC on ifremer sea trials signals

Content Provider	IEEE Xplore Digital Library
Author	Julien, G. Courmontagne, P. Bouhier, M.E.
Copyright Year	2011
Description	Author affiliation: ISEN Toulon - IM2NP, UMR CNRS 6242, Equipe Signaux et Systèmes, Maison des Technologies, Place George Pompidou, 83000 TOULON, France (Julien, G.; Courmontagne, P.) \|\| IFREMER, Zone portuaire de Brégaillon, BP 330, 83507 LA SEYNE SUR MER, France (Bouhier, M.E.)
Abstract	In several domains of engineering technologies, such as telecommunications, sonar imaging, positioning systems, radar, medical imaging, the main problem is to identify a transmitted useful pulse in a noise-corrupted received signal. A solution to this problem consists in using a modulated pulse for emission and a matched filter for reception. Such a concept is known as pulse compression. Taking into account the main assumptions of the matched filter theory, it has been proposed a new algorithm, the Wigner Ville - Stochastic Matched Filter - Pulse Compression (WV-SMF-PC). This one considers the random nature of the signal and the coloration of the noise, and is based on the jointly used of Time Frequency techniques and a stochastic extension of the Matched Filter notion: the Stochastic Matched Filter. However, some new sea trials have pointed out two main problems linked, on the one hand, to the noise power estimation and, on the other hand, to the real time compatibility. In this article, we propose and discuss a solution to these two problems exploiting informations given by the time frequency domain and we propose a complementary technique to reach the real time. Finally, some results obtained on real data are given.
Starting Page	1
Ending Page	9
File Size	6443960
Page Count	9
File Format	PDF
ISBN	9781457700866
e-ISBN	9781457700880
DOI	10.1109/Oceans-Spain.2011.6003487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time frequency analysis Signal to noise ratio Chirp Matched filters Marine vehicles Bandwidth chirp Pulse Compression Matched Filter Stochastic Matched Filter Wigner-Ville transform
Content Type	Text
Resource Type	Article

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