Abstract
A DFT-based frequency estimator with low computational complexity is proposed, which is derived by extracting the phase difference from the peak DFT bins of two sub-segments from input samples. Some of its statistical properties, such as asymptotical unbiasedness and error variance, are derived. Furthermore, an iterative procedure of frequency estimate is also presented. Simulation results show that the proposed estimator's accuracy is close to those of AM estimator and CO estimator.
Original language | English |
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Article number | 6994847 |
Pages (from-to) | 1055-1059 |
Number of pages | 5 |
Journal | IEEE Signal Processing Letters |
Volume | 22 |
Issue number | 8 |
DOIs | |
Publication status | Published - 1 Aug 2015 |
Externally published | Yes |
Keywords
- DFT
- frequency estimator
- phase difference