Name
Title | ||
|---|---|---|
A sliding-window DFT based algorithm for parameter estimation of multi-frequency signal |
Abstract | ||
|---|---|---|
A sliding-window DFT (SWDFT) based two-step algorithm is proposed for parameter estimation of multi-frequency signal with high accuracy. In the first step, the SWDFT sequence in frequency-domain varied with time instant is obtained by performing the SWDFT on the input signal, where the coarse frequency is estimated. It has been proved that the SWDFT of a multi-frequency signal possesses the same linear relationship as the original time-domain signal and the signal-to-noise ratio (SNR) of each frequency component is enhanced by the SWDFT. In the second step, the parameters are estimated with high accuracy by a linear prediction from the SWDFT sequence, where the complex-valued least squares (CLS) framework is used. Computer simulation and practical measurement results show that the proposed algorithm can estimate parameters of a multi-frequency signal distorted by noise with high accuracy. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.dsp.2019.102617 | Digital Signal Processing |
Keywords | Field | DocType |
Parameter estimation,Sliding-window discrete Fourier transform (SWDFT),Complex-valued least squares (CLS),Multi-frequency signal,Linear prediction | Least squares,Sliding window protocol,CLs upper limits,Algorithm,Linear prediction,Estimation theory,Mathematics | Journal |
Volume | ISSN | Citations |
97 | 1051-2004 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |