An Improved Blind Equalization Algorithm Based on EVA
Daoben Li · Beijing Youdian Xueyuan xuebao · 2005
A new blind equalization algorithm based on eigenvector algorithm(EVA) was presented to solve the phase rotation problem by employing metric including phase information of the channel, and a comparison between new algorithm and EVA was also made. Simulation results show that the proposed algorithm will increase convergence rate by 10%, improve anti-noise capability by 1?dB, and compress residual intersymbol interference(ISI) by 10% without increasing computational complexity with respect to EVA as well.