Research on the Blind Equalization Algorithm of Modified RLS Based on Canonical Correlation Analysis
Zhu Fu · Computer Engineering and Science · 2009
In this paper,a new blind equalization algorithm suitable for single-input multiple-output(SIMO) systems is introduced based on a recursive least squares algorithm and canonical correlation analysis(CCA-RLS),and a modified recursive least squares algorithm with a variable forgetting factor based on canonical correlation analysis(CCA-MRLS) is proposed.Combining CCA with MRLS,the CCA-MRLS algorithm is applied to the SIMO systems.Unlike other approaches,the CCA-RLS obtains simultaneously the optimal equalizers as well as the best combination of their outputs.The simulation results demonstrate that the proposed CCA-MRLS algorithm can offer good convergence characteristics and has a faster convergence speed,lower residual inter-symbol interference than CCA-RLS after convergence.