Variable forgetting factor linear least squares algorithm for a frequency selective fading channel estimation

Variable forgetting factor linear least squares (VFFLLS) algorithm is presented in order to improve the tracking capability of the channel estimation. Compared to the already-existing algorithm-exponentially windowed recursive least squares (EW-RLS) with the optimal forgetting factor, this method makes remarkable improvement in a fast fading environment. The effects of channel parameter-signal to noise ratio, fading rate, are tested in computer simulations with the given channel model. The performance of each algorithm is assessed in terms of the mean-square-identification-error (MSIE)