Paper Title
Mobile Channel Estimation Using M-SMFTF Adaptive Algorithm

In this research paper an adaptive algorithm M-SMFTF is used for mobile channel estimation with fast convergence and low complexity. A multi-ray Jakes mobile channel model with a Doppler frequency shift is used in the simulation. It is derived from SMFTF algorithm in which adaption gain is obtained only from forward predictors and new likelihood variables. Complexity of M-SMFTF is reduced from 7L to 6L, where L is the filter length. It is used in different problems like channel estimation and echo cancellation due to less complexity, high convergence speed and stability in the presence of non stationary input signals.