Name
Title | ||
|---|---|---|
Blind Carrier Frequency Offset Estimation for OFDM using Efficient Combinations of Esprit and Music |
Abstract | ||
|---|---|---|
The carrier frequency offset (CFO) is a major impairment degrading orthogonal frequency-division multiplexing (OFDM) systems. The CFO is first estimated and then compensated in order to mitigate its negative effects on the system. This article describes a combination of ESPRIT and MUSIC algorithms for blind CFO estimation. This proposed scheme requires only a small increase in the overall complexity in comparison to the ESPRIT algorithm, while being more accurate than each of the original algorithms, especially for high signal-to-noise (SNR) scenarios. Another combination is also proposed for two MUSIC stages with more accurate results in comparison to the original algorithms. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/SSP49050.2021.9513775 | 2021 IEEE Statistical Signal Processing Workshop (SSP) |
Keywords | DocType | ISSN |
CFO,OFDM,ESPRIT,MUSIC | Conference | 2373-0803 |
ISBN | Citations | PageRank |
978-1-7281-5768-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ferreira, T.N. | 1 | 2 | 2.51 |
| Sergio L. Netto | 2 | 141 | 26.27 |
| Marcello L. R. de Campos | 3 | 0 | 0.34 |
| Paulo S. R. Diniz | 4 | 247 | 38.72 |