A simple fast adaptive zero tracking algorithm
Signal Processing
A least-squares approach to blind channel identification
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Order-recursive RLS Laguerre adaptive filtering
IEEE Transactions on Signal Processing
Fast maximum likelihood for blind identification of multiple FIRchannels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind equalization of digital communication channels usinghigh-order moments
IEEE Transactions on Signal Processing
Channel estimation by symmetrical clustering
IEEE Transactions on Signal Processing
Adaptive Laguerre-lattice filters
IEEE Transactions on Signal Processing
Feedback equalization for fading dispersive channels
IEEE Transactions on Information Theory
Blind identification and equalization based on second-order statistics: a time domain approach
IEEE Transactions on Information Theory
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In this paper, channel zero-based equalizer designs for single-input single-output (SISO) channels, and single-input multiple-output (SIMO) channels are discussed. Three kinds of equalizers: zero-forcing (ZF) equalizer, minimum mean square error (MMSE) equalizer, and decision feedback equalizer (DFE), are implemented for SISO and SIMO channels. The novelty of the discussed approach is that all equalizers are designed using the channel zero information. By considering recursive filter architecture, it is shown that the proposed equalizers can be designed with efficient hardware implementation. An efficient recursive architecture for such implementation is described using Laguerre filters. Simulations are provided to compare the performance of designed equalizers.