A New Iterative Joint Detection and Decoding Algorithm for V-BLAST Architecture
Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement s...
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| Vydáno v: | IEEE signal processing letters Ročník 16; číslo 10; s. 905 - 908 |
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| Jazyk: | angličtina |
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01.10.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1070-9908, 1558-2361 |
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| Abstract | Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement such receivers. Although list-type detectors such as those founded upon the sphere decoding algorithm provide outstanding error performance, issues such as the optimal initial sphere radius, optimal radius update strategy, and their highly variable computational complexity are still unresolved. In this paper, a new detection scheme is proposed addressing the above issues. Our simulation results show that by sacrificing less than 2 dB at error rate of 10 -5 , we are able to gain up to 38.6% complexity reduction as well as a detector structure that is more suitable for practical system implementation. |
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| AbstractList | Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement such receivers. Although list-type detectors such as those founded upon the sphere decoding algorithm provide outstanding error performance, issues such as the optimal initial sphere radius, optimal radius update strategy, and their highly variable computational complexity are still unresolved. In this paper, a new detection scheme is proposed addressing the above issues. Our simulation results show that by sacrificing less than 2 dB at error rate of 10(-5), we are able to gain up to 38.6% complexity reduction as well as a detector structure that is more suitable for practical system implementation. Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple-antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable: one must resort to suboptimal methods to implement such receivers. Although list-type detectors such as those founded upon the sphere decoding algorithm provide outstanding error performance, issues such as the optimal initial sphere radius, optimal radius update strategy, and their highly variable computational complexity are still unresolved. In this paper, a new detection scheme is proposed addressing the above issues. Our simulation results show that by sacrificing less than 2 dB at error rate of 10 super(-5), we are able to gain up to 38.6% complexity reduction as well as a detector structure that is more suitable for practical system implementation. |
| Author | Yousefi, S. Meng-Ying Tsai |
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| SubjectTerms | Algorithms Bit error rate Complexity Computational complexity Computational modeling Decoding Detectors Error analysis Error correction Error detection Interference cancellation Iterative algorithms Iterative decoding Iterative methods joint detection and decoding MIMO Optimization soft-in/soft-out detectors sphere decoder Strategy |
| Title | A New Iterative Joint Detection and Decoding Algorithm for V-BLAST Architecture |
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