Pilot Based Channel Estimation for MIMO-OFDM Systems
In this paper to improve the channel estimation accuracy in OFDM system, channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. This paper addresses channel estimation based on time-domain channel statistics, using a general model LS (Least Square), MMSE (Minimum Mean Square Estimation) and BLUE (Best Linear Unbiased Estimation) estimators for a slowly fading channel. Depending upon estimator complexity, up to 30 dB in SNR can be gained over the LS estimator. In this paper, the authors have compared different type of channel estimation algorithm for Orthogonal Frequency Division Multiplexing systems.