Review for LS and LMMSE Channel Estimator Algorithm in MIMO OFDM

Authors

  • Anita Singh and Prof. Trushna Deotale Author

Keywords:

MULTIPLE INPUT MULTIPLE OUTPUT (MIMO), ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING(OFDM) , LINEAR SQUARE ESTIMATOR(LS) , LINEAR MINIMUM MEAN SQUARE ERROR ESTIMATOR(LMMSE) , Channel esimation

Abstract

In Communication system MIMO system plays an important role it gives high performance as it is a MIMO system we are using antennas in both the transmitter and receiver side.  In this paper studies and implementation of the hybrid channel estimation algorithm in MIMO OFDM..In today’s world high speed is an important factor to be taken care  in wireless communication systems. This is because high speed is required for access of video, images and many others multimedia operation .One way to achieve high data rate is OFDM. It is a technique where data is transmitted is parallel and the data are orthogonal to each other , hence results in high data rate in wireless transmissions as large number of data is transmitted at same time. OFDM may be combining with multiple transmitter and receiver antenna so which results in the MMO OFDM. It has the capability to enhance the data rate transmission and robustness against multipath fading . In this paper  we are going to propose the hybrid channel estimation algorithm in MIMO OFDM .In communication systems MIMO OFDM plays a major role .In this a 2 by 2 MIMO system is developed   and cyclic prefix length is inserted  in each symbol and a guard band interval is provided so that the data do not interfere each other . Here  we are using channel estimation algorithms  LS , LS modified , LMMSE and hybriding all of these algorithm  and result is compared with respect to BER vs SNR .

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Published

2017-03-30