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In order to greatly improve the performance of multi-modulus blind equalization algorithm(MMA) and evaluate the influence of modulation mode on it, MMA based on bat swarm intelligent optimization(BA-MMA) is proposed. This proposed algorithm uses the global optimal position vector of a bat swarm which optimized by bat algorithm(BA) as real and imaginary parts simultaneously of the initial optimal weight vector of the MMA to improve convergence speed and reduce mean square error(MSE). The simulation rests with amplitude phase shift keying(APSK) , quadrature amplitude modulation(QAM) , and phase shift keying (PSK) validate the performance of the proposed algorithm.

Bat Swarms Intelligent Optimization Multi-Modulus Algorithm and Influence of Modulation Mode on It