ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
EVAM: an eigenvector-based algorithm for multichannel blinddeconvolution of input colored signals
IEEE Transactions on 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
Blind fractionally spaced equalization of noisy FIR channels: direct and adaptive solutions
IEEE Transactions on Signal Processing
On-line blind multichannel equalization based on mutually referenced filters
IEEE Transactions on Signal Processing
Fast maximum likelihood for blind identification of multiple FIRchannels
IEEE Transactions on Signal Processing
Joint order detection and blind channel estimation by least squaressmoothing
IEEE Transactions on Signal Processing
Closed-form blind symbol estimation in digital communications
IEEE Transactions on Signal Processing
Adaptive blind channel estimation by least squares smoothing
IEEE Transactions on Signal Processing
Direct blind equalizers of multiple FIR channels: a deterministicapproach
IEEE Transactions on Signal Processing
Blind channel approximation: effective channel order determination
IEEE Transactions on Signal Processing
Blind equalization using least-squares lattice prediction
IEEE Transactions on Signal Processing
Constrained optimization methods for direct blind equalization
IEEE Journal on Selected Areas in Communications
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A new adaptive multiple-shift correlation (MSC)-based blind channel equalizer (BCE) for multiple FIR channels is proposed. The performance of the MSC-based BCE under channel order mismatches due to small head and tail channel coefficient is investigated. The performance degradation is a function of the optimal output SINR, the optimal output power, and the control vector. This paper also proposes a simple but effective iterative method to improve the performance. Simulation examples are demonstrated to show the effectiveness of the proposed method and the analyses.