Joint Blind Equalization Algorithm Based on Decision Feedback Equalizer with Spatial Diversity
Gong Jin-zhong · Video Engineering · 2013
Targeting QAM signals,improving the performance of blind adaptive equalization algorithm is researched,which using error functions of the joint MCMA+DD,and taking into account the diversity combining technique applied in nonlinear decision feedback equalizer structure in order to form a hybrid blind algorithm for QAM signals.The hybrid algorithm employs both the error functions to update the coefficients to improve the QAM signal equalization adaptability and utilizes spatial diversity for reducing fading effect and uses nonlinear structural for large fluctuation of frequency response of the channel.Computer simulations show the algorithm can increase the rate of convergence and reduce steady-state error and be able to compensate carrier phase rotation.Thus the simulation results prove the feasibility of the hybrid algorithm.