Sparse Mimo Ofdm Channel Estimation and Papr Reduction Using Generalized Inverse Technique

MIMO-OFDM systems provide high spectral efficiency for wireless communication systems. However, they have a major drawback of high PAPR which results in inefficient use of a power amplifier and also improper detections. Now a days, in wireless communication systems, channel estimation is mandatory for higher data rates with low bit error rates. For reducing burden on system the channel estimation results are exploited to reduce the high PAPR by using the technique called SVD based Generalized Inverse. From the results we can say that Sparse MIMO OFDM Channel Estimation Using Spatial and Temporal Correlations is the best for channel estimation.