| 基于并行遗传算法的CDMA优化多用户检测方法 |
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| 引用本文： | 许良凤. 基于并行遗传算法的CDMA优化多用户检测方法[J]. 国际商务研究, 2005, 45(5): 65-68 |
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| 作者姓名： | 许良凤 |
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| 作者单位： | 1. 上海对外贸易学院
2. 北京科技大学 |
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| 基金项目： | 上海高技优秀青年教师后备人选科研项目. |
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| 摘 要： | 本文阐述了复杂性科学的兴起和由来及其在经济领域中的应用情况,并且展望了复杂性科学在经济领域中的应用前景。
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| 关 键 词： | 复杂性 复杂性科学 经济领域 |
| 文章编号： | 1006-1894（2005）05-0065-04 |
| 收稿时间： | 2004-11-08 |
A Sub-Optimal Multiuser Detector Based on Parallel Genetic Algorithm for CDMA Communications |
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| XU Liang-feng. A Sub-Optimal Multiuser Detector Based on Parallel Genetic Algorithm for CDMA Communications[J]. International Business Research, 2005, 45(5): 65-68 |
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| Authors: | XU Liang-feng |
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| Affiliation: | School of Computer and Information, Hefei University of Technology, Hefei 230009, China |
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| Abstract: | Multi-user detection(MUD) is a key technique in the 3rd mobile communication systems(CDMA).It is shown that the problem of minimizing the objective function of the optimal multi-user detector can be translated into finding the individual,which has the high fitness in genetic algorithms(GA). A multi-user detector in CDMA based on parallel genetic algorithms is proposed. Comparison with the optimal multi-user detector and the conventional detector shows that the performance of the proposed method is close to that of optimal multi-user detector.The proposed multi-user detector can be easily implemented,which benefits from the parallel genetic algorithms. |
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| Keywords: | Code division multiple access(CDMA) Multi-user detection(MUD) Parallel genetic algorithm |
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