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We propose a low-complexity variable forgetting factor (VFF) mechanism forrecursive least square (RLS) algorithms in interference suppressionapplications. The proposed VFF mechanism employs an updated component relatedto the time average of the error correlation to automatically adjust theforgetting factor in order to ensure fast convergence and good tracking of theinterference and the channel. Convergence and tracking analyses are carried outand analytical expressions for predicting the mean squared error of theproposed adaptation technique are obtained. Simulation results for adirect-sequence code-division multiple access (DS-CDMA) system are presented innonstationary environments and show that the proposed VFF mechanism achievessuperior performance to previously reported methods at a reduced complexity.

Low-Complexity Variable Forgetting Factor Techniques for RLS Algorithms in Interference Rejection Applications