Two modified blind equalization algorithms
Zemin Liu · Journal of Circuits and Systems · 2006
In document [1] the authors propose a blind equalization algorithm adapted to PAM and QAM system named MMA. Though the algorithm overcomes the shortcoming of conventional CMA’s larger residual error after convergence and ‘stop-and-go’ algorithm’s fixed parameters, the convergence rate is slower. In this article we modify the algorithm so as to have a faster convergence rate and a smaller residual error at the same time, which is the first modified algorithm. The second modified algorithm is based on the modified joint blind equalization and carrier recovery algorithm named MCMA[2], which overcomes the large residual error of MCMA. This modified algorithm keeps a fast convergence rate, can equalize the channel amplitude and simultaneously compensates the phase error caused by the channel automatically better than MCMA. In addition, both of the two modified algorithms are in favor of discriminator’s output with reduction in the system’s SER. We have proved the improved equalization performance of the algorithm by both theory analysis and computer simulation.