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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Hung Gan Wai Ho Mow |
| Copyright Year | 1994 |
| Abstract | In this letter, we introduce a novel technique to speed up the famous LLL lattice reduction algorithm by use of sorting. Simulation results reveal that when applied to LLL-reduction-aided MIMO detectors, our proposed joint sorting and reduction technique can find an LLL-reduced basis with the average number of basis vector swappings reduced by about 47.5% for a 2 times 2 system and more for higher dimensional systems, without degrading the detection performance. Moreover, when the maximum number of vector swapping is limited, our proposed algorithm significantly outperform the conventional one at low-to-moderate bit error rates. This suggests that it can be applied advantageously to those MIMO systems with a strict delay constraint. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 194 |
| Ending Page | 197 |
| Page Count | 4 |
| File Size | 637397 |
| File Format | |
| ISSN | 10709908 |
| Volume Number | 15 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sorting Delay MIMO Lattices Gallium nitride Fading Detectors Degradation Bit error rate Signal detection signal detection Communication systems MIMO systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
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