Constraints in channel shortening equalizer design for DMT-based systems
Signal Processing
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Signal Processing - Special issue on independent components analysis and beyond
Bitrate maximizing per group equalization for DMT-based systems
Signal Processing - Fractional calculus applications in signals and systems
Efficient channel shortening equalizer design
EURASIP Journal on Applied Signal Processing
Equalization of sparse intersymbol-interference channels revisited
EURASIP Journal on Wireless Communications and Networking
EURASIP Journal on Applied Signal Processing
A robust orthogonal adaptive approach to SISO deconvolution
EURASIP Journal on Applied Signal Processing
A list-based detection technique for long intersymbol interference channels
IEEE Transactions on Wireless Communications
Time domain equalizer design using bit error rate minimization for UWB systems
EURASIP Journal on Wireless Communications and Networking
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Block-based transceivers with minimum redundancy
IEEE Transactions on Signal Processing
Synchronization-assisted adaptive MMSE channel estimation algorithm for MB OFDM UWB system
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Time-domain equalizer for multicarrier systems in impulsive noise
International Journal of Communication Systems
Hi-index | 754.84 |
A unified approach for computing the optimum settings of a length-Nf input-aided equalizer that minimizes the mean-square error between the equalized channel impulse response and a target impulse response of a given length Nb is presented. This approach offers more insight into the problem, easily accommodates correlation in the input and noise sequences, leads to significant computational savings, and allows us to analyze a variety of constraints on the target impulse response besides the standard unit-tap constraint. In particular, we show that imposing a unit-energy constraint results in a lower mean-square error at a comparable computational complexity. Furthermore, we show that, under the assumed constraint of finite-length filters, the relative delay between the equalizer and the target impulse response plays a crucial role in optimizing performance. We describe a new characterization of the optimum delay and show how to compute it. Finally, we derive reduced-parameter pole-zero models of the equalizer that achieve the high performance of a long all-zero equalizer at a much lower implementation cost