CHANNEL ESTIMATION OF MIMO-OFDM SYSTEM USING LS, MMSE, SBEM, LINEAR AND SPLINE

Abstract

A major challenge to MIMO-OFDM systems is how to obtain the channel state information accurately and promptly for coherent detection of information symbols and channel synchronization. estimation problem for MIMO-OFDM systems and proposes a pilot-tone based estimation algorithm. A complex equivalent baseband MIMO-OFDM signal model is presented by matrix representation. By choosing L equally-spaced and equally-powered mpilot tones from N sub-carriers in one OFDM symbol, a down-sampled version of the original signal model is obtained. Furthermore, this signal model is transformed into a linear form solvable for the LS (least-square) estimation algorithm. y. In this paper an extensive review on different channel estimation methods used in MIMO-OFDM like pilot based, least square (LS) and minimum mean square error method (MMSE), SBEM, Linear and Spline methods and also other channel estimation methods used in MIMO-OFDM are discussed