Optimization of Short Probe Linear Frequency Modulated Signal Parameters

• Autorzy: Pogribny W. , Leszczyński T.
• Języki publikacji: EN

Abstrakty

EN

In many physical experiments, linear frequency modulated (LFM) signals are widely used to probe objects in different environments, from outer-space to under- water. These signals allow a significant improvement in measurement resolution, even when the observation distance is great. For example, using LFM probe signals in underwater investigations enables discovery of even small objects covered by bottom sediments. Recognition of LFM (chirp) signals depends on their compression based on matched filtering. This work presents two simple solutions to improve the resolution of the short chirp signals recognition. These methods are effective only if synchronization between the signal and matched filter (MF) is obtained. This work describes both the aforementioned methods and a method of minimizing the effects of the lack of synchronization. The proposed matched filtering method, with the use of n parallel MFs and other techniques, allows only one sample to be obtained in the main lobe and to accurately locate its position in the appropriate sampling period Ts with accuracy Ts/n. These approaches are appropriate for use in probe signal processing.

Słowa kluczowe

EN

sonar; LFM signal; matched filtering

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2011
• Tom: Vol. 36, No. 4
• Strony: 861--871
• Opis fizyczny: Bibliogr. 9 poz., wykr.

Twórcy

autor

Pogribny W.

autor

Leszczyński T.

• University of Technology and Life Sciences Kaliskiego 7, 85-796 Bydgoszcz, Poland,

Bibliografia

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• 3. Pogribny W., Rozhankivsky I., Marciniak T. (2002), Compression of Location Signals Based on Chirp-Signals and Noise-Like Codes, Acta Acustica united with Acustica, 88, 5, 678-681.
• 4. Pogribny W., Rozhankivski I, Leszczyński T., Sedek E. (2007), Methods of Increase of Short Chirp Signals Compression, Proceedings of the IEEE EUROCON 2007 International Conference on Computer as a Tool, pp. 930-935, Warsaw.
• 5. Pogribny W., Drzycimski M. (2008), Fuzzy Extreme Analysis for Signal Compression, Proceedings of the IEEE International Conference on Signals and Electronic Systems (ICSES 2008), pp. 31-34, Kraków, Poland.
• 6. Pogribny W., Rozhankivsky I., Leszczyński T. (2008), Manner and tool for short location signals recognition, Polish Patent 381752.
• 7. Pogribny W., Leszczyński T. (2010), Minimizing of Influence of Synchronization Lack between Short LMF Signal and Filter on Its Compression, Proceedings of 18th International Conference on Microwave, Radar and Wireless Communications (MIKON), p. 4, Vilnius, Lithuania, IEEE Xplore Digital Library.
• 8. Schock S.G., LeBlanc L.R. (1990), Chirp Sonar: New Technology for Subbottom Profiling, Sea Technol., 31, 35-43.
• 9. Tortoli P., Baldanzi M., Guidi F., Atzeni C. (1997), Digital Design Improves Radar Pulse Compression, Microwaves & RF, 5, 135-140.