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Multiple Input Multiple Output (MIMO) in combination with Orthogonal Frequency Division Multiplexing (OFDM) can provide spectrally efficient and ISI free communication. Channel estimation is of great importance in order to recover the signal at the receiver side. Therefore accurate channel state information is essential for proper detection and decoding in MIMO-OFDM wireless systems. To estimate channel state information various types of techniques are being deployed in these systems. Accuracy and precision of channel estimation depends on the techniques used for the purpose of estimating channel state information. The more the accuracy of the technique, more will be the accurate performance of the system. In this paper an enhanced adaptive channel estimation using RLMS technique has been purposed. It is the combination of LMS and RLS algorithm. This technique provides better performance which can be judged by the BER performance. Comparison of the technique is done with the simple LMS and LLMS which is the combination of two LMS algorithms. Simulation results show that the purposed algorithm outperforms the latter algorithms. BPSK and QPSK modulations are used for analysis purposes.

MIMO OFDM is one of the prominence communication schemes with multi-carrier modulation. The MIMO combined with OFDM modulation technique provides the reliable high data rate transmission over the broadband wireless channels. They have been widely studied and employed for 4G systems such as Wi-Fi, DVB-T, Wi-MAX and LTE-A. The major challenge in MIMO-OFDM systems is how to estimate the channel. The estimation of the channel is done by various algorithms such as Least Square (LS) and Minimum Mean Square Error (MMSE). The main issue in OFDM systems is the problem of ICI (Inter carrier Interference) which is due to the loss of the orthogonality between the sub-carriers and the signal transmitted.ICI self-cancellation is one of the reduction methods to reduce the ICI effect in the signal.

Multiple Input Multiple Output (MIMO) in combination with Orthogonal Frequency DivisionMultiplexing (OFDM)

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