Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Discrete Random Signals and Statistical Signal Processing
Discrete Random Signals and Statistical Signal Processing
Channel equalization in filter bank based multicarrier modulation for wireless communications
EURASIP Journal on Applied Signal Processing
Data-aided symbol timing and CFO synchronization for filter bank multicarrier systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
Non-Data-Aided Timing Recovery for Filter-Bank Multicarrier Wireless Communications
IEEE Transactions on Signal Processing
Fractionally spaced linear and decision-feedback detectors fortransmultiplexers
IEEE Transactions on Signal Processing
Analysis and design of OFDM/OQAM systems based on filterbank theory
IEEE Transactions on Signal Processing
ML estimation of time and frequency offset in OFDM systems
IEEE Transactions on Signal Processing
Blind CFO Estimation for Noncritically Sampled FMT Systems
IEEE Transactions on Signal Processing
Frequency Offset Estimation and Training Sequence Design for MIMO OFDM
IEEE Transactions on Wireless Communications
Pilot tone selection for channel estimation in a mobile OFDM system
IEEE Transactions on Consumer Electronics
IEEE 802.11 Wireless Local Area Networks
IEEE Communications Magazine
New high-rate wireless LAN standards
IEEE Communications Magazine
IEEE Communications Magazine
Transmission techniques for digital terrestrial TV broadcasting
IEEE Communications Magazine
Overlapped discrete multitone modulation for high speed copper wire communications
IEEE Journal on Selected Areas in Communications
Filtered multitone modulation for very high-speed digital subscriber lines
IEEE Journal on Selected Areas in Communications
| Hi-index | 35.68 |
Multicarrier modulation techniques are currently the key technology in the area of high-data-rate transmission over wireless fading channels. Their considerable vulnerability to carrier frequency offsets, however, hinders their appealing features and demands adequate countermeasures. This paper contributes with a class of frequency estimation algorithms intended for filter bank burst-mode multicarrier transmission over time-frequency selective fading channels. All algorithms are derived from the maximum likelihood principle, exhibit a feedforward structure and are based on the use of pilot symbols scattered throughout the burst. The accuracy of the proposed schemes is investigated in typical mobile wireless scenarios, showing that they outperform maximum likelihood non-data-aided frequency recovery in spite of a substantially lower computational requirement.