OFDM Channel Estimation using Vandermonde Matrix and Frequency Domain Correlation

In wireless communication systems, it is important to have estimates of the channel in order to achieve high data rates and deliver services with the quality expected by the users. There are several channel estimation techniques used in OFDM systems, some of them based on training sequences and others on blind estimation techniques. In this paper we introduce a data aided channel estimation technique using the Vandermonde Matrix (VM) for the estimation and an interpolation through Frequency Domain Correlation (FDC). This results in a less complex method than LS or MMSE. Mean squared error (MSE) is shown for both techniques (VM and FDC) as a performance measure and it is compared to LS and MMSE. MSE performance is shown for the proposed method to be better than that of the LS and to be practically the same as the MMSE performance for low SNR values.