Publication

Abstract : Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) is a prominent scheme in wireless communication mainly in 5G communications. The signals when transmitted through a wireless channel undergo fading and interference due to multipath induced by reflectors and scatterers present in the surroundings thereby difficult to recover. Proper equalization techniques need to be adopted at the receiver side to recover the signal, prior to that, channel estimation is required to understand the behavior of the channel. We present a Compressed Sensing based pilot assisted channel estimation method over a Rayleigh fading channel and the performance is compared with Least Square (LS) and Minimum Mean Square Error (MMSE). The performance is compared with channel response characteristics with varying pilots and pilot positions and based on the results, number of pilots was optimized. The simulation results show the effectiveness of the method adopted with varying numbers of pilots. The work also addresses PAPR reduction technique. Three PAPR reduction techniques have been applied and compared, viz. Clipping-Filtering, Selective Mapping, and Partial Transmit Sequence (PTS).