| Title | A reduced complexity K-best SD algorithm based on chi-square distribution for MIMO detection |
| Authors | Mao, Xinyu Ren, Shubo Lu, Luxi Xiang, Haige |
| Affiliation | Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China. |
| Keywords | chi-square distribution (CSD) K-best sphere decoding (K-best SD) Multiple-Input Multiple-Output (MIMO) sphere decoding (SD) LATTICE |
| Issue Date | 2011 |
| Citation | 2011 IEEE VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL).. |
| Abstract | A reduced K-best sphere decoding (K-best SD) algorithm for Multiple-Input Multiple-Output (MIMO) detection is proposed. The algorithm reduces the complexity of the K-best SD by combining the statistics character of the signal and the requirement of the quality of service (QoS). In the reducing processing of the proposed algorithm, the chi-square distribution (CSD) property of the signal, the optimal symbol error rate (SER) property and the loss of pruning are considered together to give a theoretic error bound and then a threshold to determined which route can be pruned to reduced the calculation complexity. The algorithm reduces the complexity with a controllable cost of performance decrease. Simulation results on a 16QAM system with 4x4 antennas show that the algorithm can attain the near-optimal performance with a significant complexity reduction comparing to the original K-best SD or maximum likelihood (ML) algorithm. |
| URI | http://hdl.handle.net/20.500.11897/292930 |
| ISSN | 1090-3038 |
| DOI | 10.1109/VETECF.2011.6093184 |
| Indexed | EI CPCI-S(ISTP) |
| Appears in Collections: | 信息科学技术学院 |
