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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Zhang Xinghai Yang Hongji Xu Huamei Xin |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Information Science and Engineering, University of Jinan, China, 250022 (Xinghai Yang) || College of Physics and Electronics, Shandong Normal University, Jinan, China, 250014 (Huamei Xin) || College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China, 454000 (Li Zhang) || School of Information Science and Engineering, Shandong University, Jinan, China, 250100 (Hongji Xu) |
| Abstract | We propose a scheme of utilizing multilevel space-time signal-based turbo code (MST-SB-TC) for wireless communication systems with multiple antennas over very rapidly Rayleigh block fading channels where the fading coefficients changes independently for every transmitted signal. No channel state information (CSI) is available and even unitary space-time signals fail to operate. We give an effective method which applies MST-SB-TC as an alternative to the original multilevel space-time modulation and present an effective multilevel space-time (UST) signal-based BCJR-like maximum a posteriori (MAP) decoding algorithm, which makes full use of the channel characteristics when calculating the branch metrics. With iterative decoding and/or multiple receive antennas, it can further improve the system performance, which helps to give an acceptable bit error rate. |
| Starting Page | 30 |
| Ending Page | 33 |
| File Size | 324044 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467301985 |
| e-ISBN | 9781467301992 |
| DOI | 10.1109/ICSAI.2012.6223635 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fading Bit error rate Modulation Turbo codes Decoding Iterative decoding Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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