A Simple Method for Improving the Performance of Three DFT Coefficients Based Frequency Estimators

Autor:	Yasar Kemal Alp, Gokhan Gok
Rok vydání:	2020
Předmět:	Work (thermodynamics) Signal-to-noise ratio (imaging) Computational complexity theory law Simple (abstract algebra) Estimator Radar Cramér–Rao bound Algorithm Root-mean-square deviation law.invention Mathematics
Zdroj:	SIU
Popis:	In this work, a simple method for improving the performance of three DFT coefficients based fine frequency estimators is proposed. The computational complexity of the proposed method is quite low that it requires only a few additional multiplications and additions. Conducted simulations implies that the estimator improved by the proposed method has lower bias error, shows a better RMS error performance at all SNR levels and achieves the CRLB as the SNR increases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::39eea2baf0891eaecf34ba41fceab137 https://doi.org/10.1109/siu49456.2020.9302203 Zobrazit plný text záznamu