DocumentCode
2416193
Title
HTRCI with channel ranking based joint signal detection for MQRD-PCM/MIMO-OFDM
Author
Ahn, Chang-Jun ; Haeiwa, Kazuhisa
Author_Institution
Fac. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
fYear
2009
fDate
25-28 May 2009
Firstpage
779
Lastpage
783
Abstract
MIMO-OFDM is considered a key technology in emerging high-data rate systems. In MIMO-OFDM systems, channel estimation and signal detection are important to distinguish transmit signals from multiple transmit antennas. Previously, we have proposed a parallel detection algorithm using multiple QR decompositions with permuted channel matrix (MQRDPCM) for MIMO-OFDM to reduce the system complexity. This method achieves a good BER performance with low system complexity. However, since MQRD-PCM is a kind of parallel detection method, the wrong detection probability is increased due to the bad channel SINR of the transmitted signals. As a result, the average BER performance is influenced by the wrong detection probability of the bad channel SINR. To overcome the above-mentioned problems, in this paper, we propose a high time resolution carrier interferometry (HTRCI) with channel ranking based joint signal detection for MQRD-PCM/MIMO-OFDM.
Keywords
MIMO communication; OFDM modulation; channel estimation; matrix algebra; probability; signal detection; MIMO-OFDM; channel estimation; channel ranking; high time resolution carrier interferometry; high-data rate systems; joint signal detection; multiple QR decompositions; parallel detection method; permuted channel matrix; transmit antennas; wrong detection probability; Bit error rate; Channel estimation; Computational complexity; Interferometry; MIMO; OFDM; Signal detection; Signal processing; Signal to noise ratio; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-2975-2
Electronic_ISBN
978-1-4244-2976-9
Type
conf
DOI
10.1109/ISCE.2009.5156977
Filename
5156977
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