Application of the discrete linear chirp transform (DLCT) to estimate the parameters of multicomponent LFM signals

• Autorzy: Fiołka Jerzy

Identyfikatory

DOI

10.15199/48.2022.06.08

Warianty tytułu

PL

Zastosowanie transformacji DLCT do estymacji wartości parametrów wieloskładnikowych sygnałów LFM

• Języki publikacji: EN

Abstrakty

EN

This paper is focused on method to estimate the parameters of multicomponent linear frequency modulation (LFM) signals. These nonstationary signals, which are often referred to as ”chirp”, are encountered in many fields such as communication, vibration analysis, radar systems. The presented method, which is based on the discrete linear chirp transform (DLCT), permits the chirp parameters to be precisely estimated. Its high performance, which was proven by the simulation results, coupled with its simplicity, makes this method useful for many applications.

PL

W artykule przedstawiono metodę estymacji parametrów wieloskładnikowych sygnałów z liniową modulacją częstotliwości. Z tego typu sygnałami mamy do czynienia w takich dziedzinach jak telekomunikacja, analiza drgań, systemy radarowe. Przedstawiona metoda, bazująca na DLCT (ang. Discrete linear chirp transform), pozwala na oszacowanie parametrów wspomnianych sygnałów. Jej wysoka skuteczność, potwierdzona wynikami symulacji, w połączeniu z prostotą, czyni metodę użyteczną w wielu zastosowaniach.

Słowa kluczowe

EN

non-stationary signal analysis; signal processing; time-frequency analysis

PL

analiza sygnałów niestacjonarnych; przetwarzanie sygnałów; analiza czasowo-częstotliwościowa

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 6
• Strony: 45--49
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Fiołka Jerzy

• Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Department of Electronics, Electrical Engineering and Microelectronics, Akademicka 16, 44-100 Gliwice

• https://orcid.org/0000-0003-0551-6746

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).