Open AccessButterworth Window for Power Spectral Density Estimation
Author(s) -
Yoon Tae Hyun,
Joo Eon Kyeong
Publication year - 2009
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.09.0108.0260
Subject(s) - attenuation , bandwidth (computing) , spectral density , spectral leakage , window (computing) , control theory (sociology) , spectral density estimation , power (physics) , electronic engineering , window function , mathematics , computer science , optics , engineering , physics , telecommunications , algorithm , control (management) , fast fourier transform , mathematical analysis , quantum mechanics , fourier transform , artificial intelligence , operating system
The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade‐off problem: if the bandwidth is reduced, the sidelobe attenuation is also reduced. To overcome this problem, we propose using a Butterworth window with two control parameters for power spectral density estimation and analyze its characteristics. Simulation results demonstrate that the sidelobe attenuation and the 3 dB bandwidth can be controlled independently. Thus, the trade‐off problem between resolution and spectral leakage in the estimated power spectral density can be overcome.