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Content Provider | IEEE Xplore Digital Library |
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Author | Rafati, A.H. Biguesh, M. Gazor, S. |
Copyright Year | 2008 |
Description | Author affiliation: Dept of Electr. Eng., Shiraz Univ., Shiraz (Rafati, A.H.; Biguesh, M.) |
Abstract | This paper proposes a modified detection scheme which reduces the performance gap between the V-BLAST MMSE detection algorithm and the maximum likelihood (ML) detection. In V-BLAST detection algorithm error propagation due to unreliable decision feedback severely limits the system performance. Here, we propose a new detection scheme that reduces the destructive effect of error propagation to a great extent. In our proposed detection algorithm, we have used ML detection to jointly estimate two strongest sub-streams of the transmitted data. For this purpose, we find an optimum beam-forming matrix to minimize the power of cumulative noise and the interfering sub-streams. It is shown that the proposed scheme outperforms the conventional V-BLAST MMSE algorithm with moderate increase in computational complexity. Nevertheless, our study shows that the complexity of our proposed algorithm is almost negligible compared to maximum likelihood detection. |
Starting Page | 001483 |
Ending Page | 001486 |
File Size | 154129 |
Page Count | 4 |
File Format | |
ISBN | 9781424416424 |
ISSN | 08407789 |
DOI | 10.1109/CCECE.2008.4564788 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-05-04 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Interference cancellation MIMO Maximum likelihood detection Receiving antennas Iterative algorithms Transmitting antennas Detection algorithms Maximum likelihood estimation System performance Telecommunication computing |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Hardware and Architecture |
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