Simulation of Constant Modulus Blind Equalization Algorithm Initialized by Support Vector Machines
Jinming Li · Jisuanji fangzhen · 2008
For increasing the convergence rate of constant modulus blind equalization algorithm and avoiding local minima,a constant modulus algorithm initialed by support vector machines is presented in this paper.The new algo- rithm utilizes a short initial data segment,transforms blind equalization problem into support vector regression problem and sets the initial weights of the blind equalizer by means of support vector machines.Then,the algorithm is switched to constant modulus algorithm,which has a lower computational burden.The results of computer simulation based on a shallow water channel demonstrate that the initial phase utilizing support vector machines converges fast, while the algorithm is stable after switching to the constant modulus algorithm.The proposed algorithm is suitable for real time data recovery in fast fading underwater acoustic channel.