Equalization of Time Variant Multipath Channels Using Channel Estimation Based Classification Techniques

For the purpose of equalization of rapidly time variant multipath channels, we derive novel adaptation schemes based on the least mean square (LMS) algorithm. In two methods proposed in this paper, instead of a coefficient vector, a coefficient matrix is prepared for a linear transversal equalizer (LTE). Based on the estimated channel impulse response, the equalizer coefficients are selected and updated by the LMS algorithm. Computer simulation results show that with a small increase of computation, the proposed methods outperform the amplitude banded LMS equalizer recently addressed in high fade rate conditions.