Sparse Channel Estimation in Mimo-Of Dm Communication

Wireless communication system is prone to distortions and noise. The system utilizes many techniques to minimize the distortions and noise effects. The use of channel estimators is one of the many techniques and has decent success. The channel estimation is important process in modern wireless communication as it provides the channel state information. Thus it is important to get correct channel state information so that we can have distortion less signal at the receiving end. Pilot based and blind channel estimators are used for this purpose but are not successful in providing high data rates and complexity tradeoff. In this paper we try to provide a channel estimation scheme based on sparse channel estimation and SL0 algorithm. In this paper the sparse channel estimation is shown for multiple input multiple output (MIMO) communication using orthogonal frequency division multiplexing (OFDM). MATLAB software is used for the coding purpose and the system is tested for different parameters like mean square error and bit error ratio.