This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for blind equalization of QAM signals. The novelty of our approach is to combine, by means of its new cost function, the fast convergence performance of the constant modulus algorithm (CMA), as well as the ability of joint blind equalization and carrier-phase recovery of the multi-modulus algorithm (MMA). The performance of the new equalizer is then investigated in terms of robustness against the effect of interference, as well as in terms of convergence rate and opening of the eye of the communication system. The numerical results obtained from wide simulation trials evidence the effectiveness of the proposed MCMA approach for blind equalization of QAM signals.

Giunta, G., Benedetto, F. (2013). A Signal Processing Algorithm for Multi-Constant Modulus Equalization. In 36th IEEE Int. Conf. on Telecommunications and Signal Processing (TSP 2013) (pp.52-56) [10.1109/TSP.2013.6613890].

A Signal Processing Algorithm for Multi-Constant Modulus Equalization

GIUNTA, GAETANO;BENEDETTO, FRANCESCO
2013-01-01

Abstract

This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for blind equalization of QAM signals. The novelty of our approach is to combine, by means of its new cost function, the fast convergence performance of the constant modulus algorithm (CMA), as well as the ability of joint blind equalization and carrier-phase recovery of the multi-modulus algorithm (MMA). The performance of the new equalizer is then investigated in terms of robustness against the effect of interference, as well as in terms of convergence rate and opening of the eye of the communication system. The numerical results obtained from wide simulation trials evidence the effectiveness of the proposed MCMA approach for blind equalization of QAM signals.
Giunta, G., Benedetto, F. (2013). A Signal Processing Algorithm for Multi-Constant Modulus Equalization. In 36th IEEE Int. Conf. on Telecommunications and Signal Processing (TSP 2013) (pp.52-56) [10.1109/TSP.2013.6613890].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/182693
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