Multiuser Detection Using the Particle Swarm Optimization Algorithm

机译：使用粒子群优化算法的多用户检测

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

Genetic Algorithm (GA) has proven to be a useful method of optimization for multidimensional engineering problems. A new method named Particle Swarm Optimization (PSO) has been proposed by Kennedy and Eberhart and it is similar in some ways to GA or Evolutionary Programming (EP). In this paper, we apply PSO to solve the Multiuser Detection (MUD) problems in the DS-CDMA system, which reduces the computational complexity by providing faster convergence. The simulation results show that the proposed detections benefit greatly from the PSO and have significant performance improvements over Conventional Detector (CD) and previous multiuser detectors based on GA and EP in terms of bit-error-rate and convergence rate.

机译：事实证明，遗传算法（GA）是优化多维工程问题的有用方法。肯尼迪和埃伯哈特提出了一种称为粒子群优化（PSO）的新方法，该方法在某种程度上类似于GA或进化规划（EP）。在本文中，我们应用PSO解决了DS-CDMA系统中的多用户检测（MUD）问题，该问题通过提供更快的收敛性而降低了计算复杂性。仿真结果表明，所提出的检测方法在误码率和收敛速度方面都比常规检测器（CD）和以前的基于GA和EP的多用户检测器具有更大的性能提升。

著录项

来源
《International Symposium on Communications and Information Technologies(ISCIT 2005) vol.1; 20051012-14; Beijgin(CN)》|2005年|P.350-353|共4页
会议地点 Beijgin(CN)
作者
Cheng Liu; Yang Xiao;
展开▼
作者单位

Institute of Information Science Beijing Jiaotong University, Beijing 100044, China;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类通信;
关键词
genetic algorithm; evolutionary programming; multiuser detection; particle swarm optimization;

机译：遗传算法；进化规划；多用户检测；粒子群优化;

相似文献

外文文献
中文文献
专利

1. Multiuser Detection Based on Particle Swarm Optimization Algorithm over Multipath Fading Channels [J] . Zhen-qing GUO, Yang XIAO, Moon Ho LEE IEICE Transactions on Communications . 2007,第2期

机译：基于粒子群优化算法的多径衰落信道多用户检测
2. Optimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm AlgorithmOptimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm AlgorithmOptimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm Algorithm [J] . TANG Puhong, SONG Renguo, CHAI Guozhong, 武汉理工大学学报：材料科学英文版 . 2010,第002期

机译：人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术-粒子群算法人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术-人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术网络粒子群算法
3. Modified Particle Swarm Optimization and Genetic Algorithm Based Adaptive Resources Allocation Algorithm for Multiuser Orthogonal Frequency Division Multiplexing System [J] . Yang Yi, Zhang Qin Yu, Wang Ye Information Technology Journal . 2011,第5期

机译：改进的粒子群优化与遗传算法的多用户正交频分复用系统自适应资源分配算法
4. Particle Swarm and Quantum Particle Swarm Optimization Applied to DS/CDMA Multiuser Detection in Flat Rayleigh Channels [C] . Leonardo D. de Oliveira, Paul Jean E. Jeszensky, Fernando Ciriaco, IEEE International Symposium on Spread Spectrum Techniques and Applications . 2006

机译：粒子群和量子粒子群优化适用于平瑞利渠道的DS / CDMA多用户检测
5. Explorations in swarm algorithms: Hybrid particle swarm optimization and adaptive culture model algorithms. [D] . Noel, Mathew M. 2005

机译：群算法的探索：混合粒子群优化和自适应文化模型算法。
6. A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA) [O] . Ying-Hui Jia, Jun Qiu, Zhuang-Zhuang Ma, 2021

机译：一种新型乌克群优化算法（CSO）耦合粒子群优化（PSO）和乌鸦搜索算法（CSA）
7. Application of particle swarm optimization algorithm to multiuser detection in CDMA [O] . El-Mora H.H., Sheikh A.U., Zerguine A., 2005

机译：粒子群优化算法在CDma多用户检测中的应用

Multiuser Detection Using the Particle Swarm Optimization Algorithm

摘要

著录项

相似文献

相关主题

期刊订阅