Abstract

In wireless communication, orthogonal frequency division multiplexing (OFDM) plays a major role because of its high transmission rate. Channel estimation and tracking have many different techniques available in OFDM systems. Among them, the most important techniques are least square (LS) and minimum mean square error (MMSE). In least square channel estimation method, the process is simple but the major drawback is it has very high mean square error. Whereas, the performance of MMSE is superior to LS in low SNR, its main problem is it has high computational complexity. If the error is reduced to a very low value, then an exact signal will be received. In this paper an extensive review on different channel estimation methods used in MIMO-OFDM like pilot based, least square (LS) and minimum mean square error method (MMSE) and least minimum mean square error (LMMSE) methods and also other channel estimation methods used in MIMO-OFDM are discussed.

Highlights

  • Now-a-days, orthogonal frequency division multiplexing (OFDM) is of great interest to researchers all over the world [1]

  • In OFDM, the entire channel is splitted into many narrow parallel sub channels, so the duration of symbol is increased and the inter symbol interference (ISI) produced by the multi-path environments is reduced or eliminated [2,3].OFDM supports high data rate traffic because the incoming serial data stream is divided into parallel low-rate streams that are transmitted on orthogonal sub-carriers simultaneously [4]

  • It has been found that the capability of MIMO–OFDM systems grow linearly with the number of antennas, when optimal knowledge of the wireless channel is available at the receiver

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Summary

A Comprehensive Review on Channel Estimation in OFDM System

Abstract-In wireless communication, orthogonal frequency division multiplexing (OFDM) plays a major role because of its high transmission rate. Channel estimation and tracking have many different techniques available in OFDM systems. The most important techniques are least square (LS) and minimum mean square error (MMSE). In least square channel estimation method, the process is simple but the major drawback is it has very high mean square error. The performance of MMSE is superior to LS in low SNR, its main problem is it has high computational complexity. In this paper an extensive review on different channel estimation methods used in MIMOOFDM like pilot based, least square (LS) and minimum mean square error method (MMSE) and least minimum mean square error (LMMSE) methods and other channel estimation methods used in MIMO-OFDM are discussed

INTRODUCTION
RELATED WORK
OFDM SYSTEM
CHANNEL ESTIMATION TECHNIQUES
CONCLUSION
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