Evaluation of Kalman Filtering Based Channel Estimation for LTE-Advanced
For high data rate multimedia services and growing demand of wireless internet, in 2007 ITU invited proposals for 4th Next Generation Communication systems, for which 3GPP proposed LTE-A, based on Rel-10, fulfilling the requirements of IMT-A. In this paper, extension of two linear frequency-domain channel estimation techniques, LSE and LMMSE are analyzed by using Kalman Filtering Algorithm. The performance of LMMSE-Kalman is better than LSE-Kalman as first one uses the second order noise and channel statistics. Two channel parameters are used for analysis, channel filter length, in terms of Channel Impulse Response (CIR) samples and multi-path channel taps.