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A New Lattice Reduction Algorithm for LR-Aided MIMO Linear Detection
Lattice reduction (LR) has recently emerged as a promising technique for improving the performance of suboptimal multiple-input-multiple-output (MIMO) detectors. For LR-aided MIMO detection, the Lenstra-Lenstra-Lovász (LLL) and Seysen's algorithm (SA) have been considered almost exclusively to...
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Published in: | IEEE transactions on wireless communications 2011-08, Vol.10 (8), p.2417-2422 |
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creator | CHEN, Chiao-En SHEEN, Wern-Ho |
description | Lattice reduction (LR) has recently emerged as a promising technique for improving the performance of suboptimal multiple-input-multiple-output (MIMO) detectors. For LR-aided MIMO detection, the Lenstra-Lenstra-Lovász (LLL) and Seysen's algorithm (SA) have been considered almost exclusively to date. In this paper, we introduced a new LR algorithm for LR-aided linear detection (LD). In contrast to the LLL and SA, which are targeted to search for bases with relatively short basis vectors, the proposed algorithm has been designed to improve the minimum Euclidean distance of the LR-aided linear detector, thus exhibiting improved error rate at high SNR. The error-rate performance of the proposed algorithm as well as the required complexity has been demonstrated through extensive computer simulations. |
doi_str_mv | 10.1109/TWC.2011.061311.101297 |
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subjects | Algorithm design and analysis Algorithms Applied sciences Bit error rate Complexity theory Detection, estimation, filtering, equalization, prediction Detectors Error detection Exact sciences and technology Information, signal and communications theory Lattice reduction Lattices Mathematical analysis MIMO Reduction Seysen's algorithm Signal and communications theory Signal, noise Telecommunications and information theory Vectors (mathematics) Wireless communication |
title | A New Lattice Reduction Algorithm for LR-Aided MIMO Linear Detection |
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