Multirate systems and filter banks
Multirate systems and filter banks
Multirate Digital Signal Processing
Multirate Digital Signal Processing
ADSL and DSL Technologies
Fast algorithm for finite-length MMSE equalizers with application to discrete multitone systems
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
A new OFDM demodulation method to reduce influence of ISI due to longer delay than guard interval
ICCS '02 Proceedings of the The 8th International Conference on Communication Systems - Volume 01
IEEE Transactions on Signal Processing
Equalization for discrete multitone transceivers to maximize bitrate
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Fractionally spaced linear and decision-feedback detectors fortransmultiplexers
IEEE Transactions on Signal Processing
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
Perfect equalization for DMT systems without guard interval
IEEE Journal on Selected Areas in Communications
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We propose a zero-forcing frequency domain block equalizer for discrete multitone (DMT) systems with a guard interval of insuffcient length. In addition to the insuffcient guard interval in the time domain, the equalizer takes advantage of frequency domain redundancy in the form of subcarriers that do not transmit any data. After deriving suffcient conditions for zero-forcing equalization, that is, complete removal of intersymbol and intercarrier interference, we calculate the noise enhancement of the equalizer by evaluating the signal-to-noise ratio (SNR) for each subcarrier. The SNRs are used by an adaptive loading algorithm. It decides how many bits are assigned to each subcarrier in order to achieve a maximum data rate at a fixed error probability. We show that redundancy in the time domain can be traded off for redundancy in the frequency domain resulting in a transceiver with a lower system latency time. The derived equalizer matrix is sparse, thus resulting in a low computational complexity.