A Parallel Estimator with LMS Adaptation for Fast Fading Channels

We propose a novel channel estimation technique for fast fading channels. The proposed scheme supposes multiple linear transversal filters, which are constructed in a parallel structure. The estimator coefficients for the proposed estimation scheme are adapted by the least mean square (LMS) algorithm. To obtain a further performance improvement of the proposed scheme, a technique to adjust the step-size for the LMS is also introduced. Computer simulation results show that the proposed method provides a significant improvement related to the conventional LMS estimator in high fade rate conditions.