An orthogonal wavelet transform constant modulus blind equalization algorithm based on glowworm swarm optimization algorithm
Yecai Guo · Journal of Anhui Polytechnic University · 2013
An orthogonal wavelet transform(WT) constant modulus blind equalization algorithm(CMA) based on artificial glowworm swarm optimization algorithm(GSO)is proposed.In the proposed algorithm,CMA is integrated with GSO and WT,the de-correlation ability of WT is used to reduce the signal autocorrelation,and the global search ability of GSO algorithm is used to optimize the equalizer weight vector.It can reduce the mean square error of CMA and the possibility of CMA local convergence and improve the convergence rate of CMA.The results from computer simulation show that the proposed algorithm outperforms the CMA and WT-CMA in improving the convergence rate and reducing the steady-state error and computational loads.