An amending self-recovering equalization algorithm for high-order QAM system
Hua Xiao · Signal Processing · 2009
In this paper,a novel blind qualization algorithm is proposed by generating the conventional constant moduls algorithm. The proposed algorithm,which combines the benefits of the Constant modul algorithm,uses exponential weighted symbols of the decision output to adjust the modulus in the cost function.During the equalizer tab update process,the MSE can be adjusted so that superior performance of the proposed algorithm in steady-state can be obtained by selecting a the weight factor.Analysis and simulation results demonstrate that compared with conventional blind qualization algorithms,the proposed algorithm provides superior performace by increasing the convergence rate and decreasing the steady-state mean square error,which is more efficient for blind demodulation for high-order QAM signal.When there exist big frequency-offset,the proposed algorithm is more efficiency for carriery recovery because it equalizates only the energy of signal and do not affect the phase of signal.