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In a time-invariant channel, channel estimation is performed at the beginning of the frame and the estimates are used in the remainder of the frame for signal detection or equalization. In a time varying environment such an approach is not sufficient since the channel changes within the frame. In this project, we propose a low complex interpolation technique to adaptively estimate the MIMO-OFDM channel. The adaptive normalized least means square (NLMS) algorithm is used to estimate the pilot-tones in time-varying MIMO-OFDM channels. To achieve the better interpolation performance, the position of pilots is optimized so that we can interpolate the …
