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Recognition improvement of short chirp signals

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Języki publikacji
EN
Abstrakty
EN
Broadband signals with the use of linear frequency modulation LMF (so-called chirp signals) are widely used in localization. Recognition of the chirp signals depends mainly on their compression based on the matched filtration. This work presents two simple solutions of the essential improvement of the recognition resolution of the short chirp signals, which product BT does not exceed 100. The first of them is connected with matching chirp and impulse response (IR) parameters to a specific window so that the form of the filter frequency response (FR) would be the nearest to the form of the window amplitude spectrum. The second one is based on removing the negative convolutions of the matched filtration in the time domain. The authors have found that the best result is achieved when both methods are used simultaneously. These ways were checked out for different windows and chirps with bigger BT too. Apart from that, the structure of matched filter (MF) with the use of above-mentioned methods is proposed.
Rocznik
Strony
113--125
Opis fizyczny
Bibliogr. 8 poz., wykr.
Twórcy
autor
Bibliografia
  • 1. J. Tsui: Digital Techniques for Wideband Receivers, Artech House, Boston-London, 1995.
  • 2. B. L. Lewis: Aspects of Radar Signal Processing, Artech House, Boston-London, 1986.
  • 3. M. Tortoli, F. Baldanzi, C. Guidi, Atzeni: Digital Design Improves Radar Pulse Compression, Microwaves & RF, pp. 135-140, May 1997.
  • 4. S. G. Schock, L. R. LeBlanc: Chirp sonar: new technology for subbottom profiling, Sea Technol., 31, pp. 35-43,1990.
  • 5. W. Pogribny, I. Rozhankivsky, T. Marciniak: Compression of Location Signals Based on Chirp-Signals and Noise-Like Codes, Acta Acustica united with Acustica, vol. 88, no. 5, pp. 678-681, 2002.
  • 6. W. Pogribny, I. Rozhankivski, T. Leszczyński, E. Sędek: Methods of Increase of Short Chirp Signals Compression, in Proc. of the IEEE EUROCON 2007 International Conference on "Computer as a Tool", Warsaw, pp. 930-935, 2007.
  • 7. R. G. Lyons: Understanding Digital Signal Processing, Addison Wesley Longman, Inc., 1997.
  • 8. S. W. Smith: Digital Signal Processing: A Practical Guide for Engineers and Scientists, Elsevier Inc., Burlington, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAD-0013-0016
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