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.