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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lee, Jin Park, Sin-Chong |
| Copyright Year | 2007 |
| Description | Author affiliation: System Integration Technology Institute, Information and Communications University (Lee, Jin; Park, Sin-Chong) |
| Abstract | Suboptimal detectors of multiple-input multiple-output (MIMO) have been studied because the implementation of the optimum detector, the maximum-likelihood (ML) detector, has so far been considered infeasible for high-rate system. Sphere decoder (SD) using depth-first tree searching and K-best algorithm are used for near optimum detector. SD has the non-deterministic computational throughput and K-best requires the sorting unit whose complexity is significantly high when a large K is used together with high modulation constellation. In this paper, we propose a MIMO detector employing Viterbi algorithm instead of tree searching. This detector can keep the computational throughput constant and reduce the complexity because the sorting is not required. In the simulation, we analyze the advantage and the drawback of the proposed detector in the environment of IEEE 802.11n system. |
| Starting Page | 111 |
| Ending Page | 115 |
| File Size | 3069464 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424412211 |
| ISSN | 15206130 |
| DOI | 10.1109/SIPS.2007.4387528 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | MIMO Detectors Viterbi algorithm Decision trees Throughput Sorting Maximum likelihood detection Maximum likelihood decoding Computational modeling Analytical models MIMO detector Sphere decoder |
| Content Type | Text |
| Resource Type | Article |
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