Orthogonal frequency division multiplexing (OFDM) systems have attracted attention as the fourth generation mobile communication systems. In OFDM systems, the impact of a fading is identified by using the channel estimation (CE). However, a large number of pilot symbols is required to identify an accurate channel state information (CSI) in the conventional OFDM systems. To reduce this problem, a time frequency interferometry (TFI) for OFDM has been proposed. Under the fast fading environment, since the channel is rapidly changed, many errors are occurred. Therefore, we have proposed the fast fading compensation method by using the decision direct and linear prediction methods. However, this method has several problems. To overcome these problems, in this paper, we propose the nonlinear prediction method based on the weighted channel variance.
In a recent year, a high data rate and a high quality multimedia services are demanded. To meet this demand, orthogonal frequency division multiplexing (OFDM) is attractive and widely studied. In an OFDM system, the channel estimation (CE) is very important. However, since the channel is rapidly varied, many errors occur in the last part of the packet in the fast fading environment. To mitigate this problem, the joint direct and linear prediction method has been proposed. However, this method shows the large number of errors in the last part of the packet by using the linear prediction. To overcome this problem, in this paper, we propose the non-linear prediction method to compensate the channel variance in the last part of the packet.
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