DNA genetic bat algorithm based fractionally spaced multi-modulus algorithm

For the low convergence speed and large mean square error (MSE) of the existing multi-modulus algorithms(MMAs), a DNA genetic bat algorithm based fractionally spaced multi-modulus algorithm(DNA-GBA-FS-MMA) is proposed. In this proposed algorithm, the fractionally spaced equalizer is used to get more detail channel information via oversampling signals. DNA genetic algorithm is introduced into bat algorithm to obtain a new intelligent optimization algorithm, called as DNA genetic bat algorithm (DNA-GBA), and DNA-GBA is used to find the global optimal position vector of the bat swarm serving as the real and imaginary parts of the initial weight vector of multi-modulus algorithm. Simulation results show that DNA-GBA-FS-MMA has the smallest MSE, the fastest convergence speed, and the clearest and most compact constellation points in comparison with the existing multi-modulus algorithms(MMAs). © 2015, China Ordnance Society. All right reserved.