Name
Abstract | ||
|---|---|---|
Modern digital communication systems use quadrature modulation (IQ) such as QAM. An imbalance between the I and Q paths in the RF module results in self-interference that affects both channel estimation and data demodulation. We propose unbiased training sequences that automatically eliminate the interference from the channel estimate. Strong gains are achieved for high data rates. For additional gains, we also propose a relatively inexpensive extension to compensate for data distortion in OFDM. End-to-end (transmitter and receiver) and frequency-dependent imbalances are covered. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/GLOCOM.2007.814 | Washington, DC |
Keywords | Field | DocType |
OFDM modulation,channel estimation,cochannel interference,demodulation,quadrature amplitude modulation,sequences,IQ imbalance mitigation,OFDM,QAM,channel estimation,compensation algorithm,data demodulation,digital communication systems,frequency-dependent imbalances,interference elimination,unbiased training sequences | Quadrature modulation,Demodulation,Transmitter,Quadrature amplitude modulation,Computer science,Control theory,QAM,Communication channel,Real-time computing,Electronic engineering,RF module,Orthogonal frequency-division multiplexing | Conference |
ISSN | ISBN | Citations |
1930-529X | 978-1-4244-1043-9 | 8 |
PageRank | References | Authors |
0.66 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rabih Chrabieh | 1 | 10 | 1.76 |
| S. S. Soliman | 2 | 331 | 44.42 |