Abstract

Multiple Input Multiple Output (MIMO) in combination with Orthogonal Frequency Division\nMultiplexing (OFDM) can provide spectrally efficient and ISI free communication. Channel estimation is of\ngreat importance in order to recover the signal at the receiver side. Therefore accurate channel state information\nis essential for proper detection and decoding in MIMO-OFDM wireless systems. To estimate channel state\ninformation various types of techniques are being deployed in these systems. Accuracy and precision of channel\nestimation depends on the techniques used for the purpose of estimating channel state information. The more\naccuracy of the technique more will be the accurate performance of the system. In this paper an enhanced adaptive\nchannel estimation using normalized least mean square (NLMS) technique has been proposed. This technique\nprovides better performance which can be judged by the BER performance compared than the previous algorithm i.e.\nleast mean square (LMS) and recursive least square (RLS).