The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature amplitude modulation signalling. We compare a bootstrap maximum a posteriori probability (MAP) equalizer with a recently introduced concurrent constant modulus algorithm (CMA) and decision directed (DD) equalizer (CMA+DD). Both equalizers are known to outperform the CMA considerably in the situations where carrier recovery is performed and the signal constellation is known. The concurrent CMA+DD equalizer has a complexity that is slightly more than twice of the CMA, and the bootstrap MAP equalizer has computational requirements that are only slightly more complex than the CMA. Simulation results indicate that the bootstrap MAP blind FIR equalizer has a faster convergence rate and better steady-state performance than the concurrent CMA+DD blind FIR equalizer, but tuning of the former is more complicated than the latter.
We compare some blind finite-impulse-response (FIR) equalisation schemes for high-order quadrature amplitude modulation (QAM) signalling. The popular constant modulus algorithm (CMA) is used as a benchmark in an investigation of two blind FIR equalisers, namely, a bootstrap maximum a posteriori probability (MAP) equaliser and a recently introduced concurrent CMA and decision directed (DD) equaliser (CMA+DD). Both equalisers are known to outperform the CMA considerably at costs of small increase in computational complexity. Our study indicates that the bootstrap MAP equaliser has a faster convergence rate than the concurrent CMA+DD equaliser.
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