期刊名称:International Journal of Distributed and Parallel Systems
印刷版ISSN:2229-3957
电子版ISSN:0976-9757
出版年度:2012
卷号:3
期号:3
DOI:10.5121/ijdps.2012.3312
出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:A MIMO-OFDM wireless communication system is a combination of MIMO and OFDM Technology. The combination of MIMO and OFDM produces a powerful technique for providing high data rates over frequency-selective fading channels. MIMO-OFDM system has been currently recognized as one of the most competitive technology for 4G mobile wireless systems. MIMO-OFDM system can compensate for the lacks of MIMO systems and give play to the advantages of OFDM system.In this paper , the bit error rate (BER) performance using linear maximum likelihood alamouti combiner (LMLAC) decoding technique for space time frequency block codes(STFBC) MIMO-OFDM system with frequency offset (FO) is being evaluated to provide the system with low complexity and maximum diversity. The simulation results showed that the scheme has the ability to reduce ICI effectively with a low decoding complexity and maximum diversity in terms of bandwidth efficiency and also in the bit error rate (BER) performance especially at high signal to noise ratio.
关键词:A MIMO-OFDM wireless communication system is a combination of MIMO and OFDM Technology. The;combination of MIMO and OFDM produces a powerful technique for providing high data rates over;frequency-selective fading channels. MIMO-OFDM system has been currently recognized as one of the;most competitive technology for 4G mobile wireless systems. MIMO-OFDM system can compensate for the;lacks of MIMO systems and give play to the advantages of OFDM system.In this paper ; the bit error rate;(BER) performance using linear maximum likelihood alamouti combiner (LMLAC) decoding technique for;space time frequency block codes(STFBC) MIMO-OFDM system with frequency offset (FO) is being;evaluated to provide the system with low complexity and maximum diversity. The simulation results;showed that the scheme has the ability to reduce ICI effectively with a low decoding complexity and;maximum diversity in terms of bandwidth efficiency and also in the bit error rate (BER) performance;especially at high signal to noise ratio.