Signal Processing - Special issue on independent components analysis and beyond
Square contour algorithm for blind equalization of QAM signals
Signal Processing - Special section: Distributed source coding
Self-tuning blind identification and equalization of IIR channels
EURASIP Journal on Applied Signal Processing
Adaptive filters with error nonlinearities: mean-square analysis and optimum design
EURASIP Journal on Applied Signal Processing
New blind equalization techniques based on improved square contour algorithm
Digital Signal Processing
IEEE Transactions on Signal Processing
Transient and steady-state analysis of the affine combination of two adaptive filters
IEEE Transactions on Signal Processing
A new hybrid blind equalization algorithm with steady-state performance analysis
Digital Signal Processing
Hi-index | 35.69 |
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback approach is that it bypasses the need for working directly with the weight error covariance matrix. In so doing, approximate expressions for the steady-state mean-square error of several CM algorithms are derived, including CMA2-2, CMA1-2, normalized CMA, and a new normalized CMA variant with less bias. A comparison among the various algorithms is also performed, along with several simulation results. The conclusions confirm the superior performance of CMA2-2