Recognizing the Sequences of Code Manipulated Short LFM Signals

• Autorzy: Leszczyński T.
• Języki publikacji: EN

Abstrakty

EN

Noise-like binary sequences combined with signals with linear frequency modulation might be suc- cessfully used to increase the reliability of the recognition of both probe and communication signals in the presence of natural and artificial interference. To identify such formed sequences the usage of the two-step matched filtering was suggested and the probabilistic model of the recognition of noise-like code sequences transferred by LFM signals was developed.

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: 2012
• Tom: Vol. 37, No. 3
• Strony: 295--300
• Opis fizyczny: Bibliogr. 8 poz., wykr.

Twórcy

autor

Leszczyński T.

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

Bibliografia

• 1. Davies A.C. (1971), Properties of Waveforms Obtained by Nonrecursive Digital Filtering of Pseudorandom Binary Sequences, IEEE Transaction on Computers, 20, 3, 270-281.
• 2. Glover I., Grant P. (1998), Digital Communications, Prentice Hall, England.
• 3. Howard R.M. (2002), Principles of Random Signal Analysis and Low Noise Design, John Willey & Sons, New York.
• 4. Leszczyński T. (2010), The methods of the identification resolution increase of short signals with linear frequency modulation [in Polish: Metody zwiększania rozdzielczości rozpoznawania krótkich sygnałów z liniową modulacją częstotliwości ], Rozprawy Nr 146, University of Technology and Life Sciences, Bydgoszcz.
• 5. Luke H.D. (2001) Binary Alexis Sequences with Perfect Correlation, IEEE Transaction on Communications, 6, 966-969.
• 6. Proakis J. (2001), Digital Communications, McGraw-Hill, New York.
• 7. Pogribny W., Leszczyński T. (2011), Optimization of short Probe Linear Frequency Modulated Signal Parameters, Archives of Acoustics, 36, 4, 861-871.
• 8. Pogribny W., Leszczyński T. (2008), Recognition Improvement of short chirp signals, Electronics and Telecommunications Quarterly, 54, 2, 113-125.