Frequency Estimation Based on Three Samples of Discrete Fourier Transform in Real Sinusoids

Yıl 2022, Cilt: 27 Sayı: 3, 911 - 926, 31.12.2022

Hasan Bayazit Erdoğan Dilaveroğlu

https://doi.org/10.17482/uumfd.1150894

Öz

In this study, the behavior of parabolic, Jacobsen, bias-corrected Jacobsen, and Quinn estimators, which are used in frequency estimation and based on three samples of discrete Fourier transform, are examined on real signals comparatively. As an alternative to these estimators, a sinc function-based frequency estimator is proposed, and the root means square errors (RMSE) of the estimator are compared by performing computer simulations. It has been observed that the proposed sinc-based estimator gives lower RMS errors in a wide part of the frequency range compared to other estimators.

Anahtar Kelimeler

Frequency estimation, DFT, Sinc function, Real signals

REEL SİNÜSLERDE AYRIK FOURIER DÖNÜŞÜMÜNÜN ÜÇ ÖRNEĞİNE DAYALI FREKANS KESTİRİMİ

Öz

Bu çalışmada, frekans kestiriminde kullanılan ve ayrık Fourier dönüşümün üç örneğine dayanan parabolik, Jacobsen, yanlılığı düzeltilmiş Jacobsen ve Quinn kestiricilerinin reel sinyaller üzerindeki davranışları karşılaştırmalı olarak incelenmiştir. Bu kestiricilere alternatif olarak bir sinc fonksiyonu tabanlı frekans kestiricisi önerilmiş ve kestiricinin karesel ortalamalarının karekökü hataları (RMSE) bilgisayar benzetimleri yapılarak karşılaştırılmıştır. Önerilen sinc tabanlı kestirici, frekans aralığının geniş bir kısmında diğer kestiricilere göre düşük RMSE değerleri verdiği gözlenmiştir.

Anahtar Kelimeler

Frekans kestirimi, Ayrık Fourier dönüşümü, Sinc fonksiyonu, Reel sinyaller

Kaynakça

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