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Iterative Time-Frequency Filtering of Sinusoidal Signals With Updated Frequency Estimation

发布日期:2016-12-01 18:26:04 阅读次数:[3228]次 作者:

核心提示:来源出版物: IEEE SIGNAL PROCESSING LETTERS

作者: Zhang, HJ (Zhang, Haijian); Yu, L (Yu, Lei); Xia, GS (Xia, Gui-Song)
来源出版物: IEEE SIGNAL PROCESSING LETTERS  卷: 23  期: 1  页: 139-143  DOI: 10.1109/LSP.2015.2504565  出版年: JAN 2016
摘要: In this letter, a sinusoidal time-frequency distribution based filtering (STFD-F) algorithm is proposed and analysed for estimating mono-component stationary sinusoidal signals embedded in strong noise. An initial frequency estimation of the sinusoidal signal is required in the STFD-F algorithm. We theoretically derive the closed-form expressions of the variance and the bias of the estimated signal using the STFD-F, and show that the performance of the STFD-F is dependent on the frequency estimation accuracy, which can be gradually refined by performing an iterative STFD-F procedure. Computer simulations on synthetic sinusoidal signals are presented to corroborate the theoretical analysis.


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