ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Butterworth Window for Power Spectral Density Estimation

  • Yoon, Tae-Hyun (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Joo, Eon-Kyeong (School of Electrical Engineering and Computer Science, Kyungpook National University)
  • Received : 2008.05.07
  • Accepted : 2009.04.20
  • Published : 2009.06.30
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Abstract

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.

Keywords

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