On the convergence of subgradient based blind equalization algorithm
Signal Processing - Special section: Multimodal human-computer interfaces
Self-tuning blind identification and equalization of IIR channels
EURASIP Journal on Applied Signal Processing
A quadratic programming approach to blind equalization and signal separation
IEEE Transactions on Signal Processing
Blind system identification using precise and quantized observations
Automatica (Journal of IFAC)
| Hi-index | 35.69 |
We formulate the blind fractionally spaced equalization (FSE) problem as one that minimizes a piecewise linear convex function subject to some linear constraints on the equalizer parameters. We show that this formulation achieves both the interference removal and the carrier phase recovery when the input signal possesses a certain quadrature amplitude modulation (QAM) type symmetry. A fast linear programming implementation is presented to solve the convex minimization problem. Computer simulation results indicate the new linear programming-based FSE is able to accurately equalize channels that are known to be not equalizable by T-spaced (or baud rate) blind equalizers and yields superior performance to other blind FSE methods