New blind equalization techniques based on improved square contour algorithm
Digital Signal Processing
Digital Signal Processing
Conditional fuzzy clustering for blind channel equalization
Applied Soft Computing
A feedback approach to the steady-state performance of fractionallyspaced blind adaptive equalizers
IEEE Transactions on Signal Processing
Dithered signed-error CMA: robust, computationally efficient blindadaptive equalization
IEEE Transactions on Signal Processing
Hybrid carrier recovery, blind equalization for high-order QAM signal constellations
IEEE Transactions on Consumer Electronics
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The dithered signed-error constant modulus algorithm (DSE-CMA) is an approach less computationally than CMA but exhibits ill-convergence. On the contrary, the concurrent CMA with soft decision-directed scheme (CMA+SDD) improves the convergence rate of CMA by adding SDD but brings lots of computational complexity. As a tradeoff, in this paper we combine the virtues of DSE-CMA and SDD, then propose a new algorithm, which compensates the phase shift and provides convergence faster than DSE-CMA with lower complexity than CMA+SDD. More importantly, an approximation of its steady-state mean square error performance is derived. Simulation results show the superiority of the proposed algorithm.