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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chang-Jun Ahn Haeiwa, K. |
| Copyright Year | 2009 |
| Description | Author affiliation: Faculty of Information Sciences, Hiroshima City University, 3-4-1 Ozuka-higashi, Asaminami, 731-3194 Japan (Chang-Jun Ahn; Haeiwa, K.) |
| 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. |
| Starting Page | 779 |
| Ending Page | 783 |
| File Size | 298063 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424429752 |
| DOI | 10.1109/ISCE.2009.5156977 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-25 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal detection OFDM MIMO Transmitting antennas Signal processing Bit error rate Signal to noise ratio Interferometry Computational complexity Channel estimation |
| Content Type | Text |
| Resource Type | Article |
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