University of Hertfordshire

An iterative joint channel estimation and data detection technique for MIMO-OFDM systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationIWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference
Pages195-199
Number of pages5
DOIs
Publication statusPublished - 22 Nov 2012
Event8th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2012 - Limassol, Cyprus
Duration: 27 Aug 201231 Aug 2012

Conference

Conference8th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2012
CountryCyprus
CityLimassol
Period27/08/1231/08/12

Abstract

Combination of STBC with OFDM has gained considerable interest and has become a promising technique for future wireless communications. However, such systems require the knowledge of the Channel State Information (CSI) at the receiver. In this paper, a new channel estimation approach is proposed using dedicated pilot subcarriers defined at fixed intervals to estimate the channel parameters. Once channel parameters at the pilot subcarriers have been estimated using known pilot symbols at the receiver, the iterative channel estimation process is initiated, and data symbols positioned at adjacent data subcarriers are recovered. Subsequently, the recovered data symbols become the new set of pilots which are then used to re-estimate the channel parameters and recover the next adjacent STBC block. Another major novel contribution of the paper is the proposal of a new group decoding method that reduces the processing time significantly via the use of subcarrier grouping for transmitted data recovery. The OFDM symbols are divided into groups to which a set of pilot subcarriers are assigned and used to initiate the channel estimation process. Designated data symbols contained within each group of the OFDM symbols are decoded simultaneously in order to improve the decoding time duration.

ID: 15990212