Abstract
A data-aided frequency offset estimation algorithm suited for burst-mode communications is described and analyzed. The proposed algorithm is based on a Pilot symbol assisted modulation (PSAM) frame structure, which consists of regularly spaced pilot symbols and a group of consecutive pilot symbols embedded in. Firstly, an initial estimate based on consecutive pilot symbols is generated for reducing the phase ambiguity. Secondly, based on both spaced and consecutive pilot symbols, fine preliminary estimates are generated to improve estimation accuracy. Lastly, the final estimate is obtained by combining the fine preliminary estimates with the initial. This three-step algorithm is shown to provide high estimation accuracy close to those of FFT-based algorithm at low Signal-to-noise ratio (SNR). In addition, it is suitable for high carrier frequency offset cases.
| Original language | English |
|---|---|
| Pages (from-to) | 165-169 |
| Number of pages | 5 |
| Journal | Chinese Journal of Electronics |
| Volume | 19 |
| Issue number | 1 |
| Publication status | Published - Jan 2010 |
| Externally published | Yes |
Keywords
- Cramer-Rao lower bound (CRLB)
- Frequency offset estimation
- Maximum likelihood (ML)
- Pilot symbol assisted modulation
- SNR threshold