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| 非高斯噪声环境下的智能粒子滤波多用户检测方法 | |
| 引用本文： | 彭涛,李一兵,高振国. 非高斯噪声环境下的智能粒子滤波多用户检测方法[J]. 应用科技, 2011, 38(9): 15-18,22. DOI: 10.3969/j.issn.1009-671X.2011.09.04 |
| 作者姓名： | 彭涛 李一兵 高振国 |
| 作者单位： | 1. 海军驻哈尔滨地区舰船配套军代表室,黑龙江哈尔滨150001;哈尔滨工程大学信息与通信工程学院,黑龙江 哈尔滨150001 2. 哈尔滨工程大学信息与通信工程学院,黑龙江 哈尔滨,150001 3. 哈尔滨工程大学自动化学院,黑龙江哈尔滨,150001 |
| 基金项目： | 国家自然科学基金资助项目，船舶工业国防科技基础研究基金资助项目 |
| 摘 要： | 粒子滤波适用于任何非线性非高斯系统的状态估计问题，具有应用灵活、适用范围广等优点．建议分布的选择恰当与否直接决定着粒子滤波的估计精度和估计效率．针对这一难点提出了采用粒子群优化算法来确定粒子的建议分布．粒子群优化算法作为新的群智能算法同样适应于各类非线性非高斯系统，采用该算法确定粒子滤波的建议分布保证了粒子滤波广泛的适应性，同时提高了估计精度．最后在Alpha稳定分布噪声环境下对CDMA系统多用户检测进行了仿真，结果表明，采用智能算法来确定粒子的建议分布极大地提高了粒子滤波的估计精度． |
| 关 键 词： | 粒子滤波 多用户检测 群智能算法 粒子群优化 非高斯噪声 |
Multi-user detection method based on intelligenceparticle filter under non-Gaussian noise |
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| LI Yibing,PENG Tao,GAO Zhenguo. Multi-user detection method based on intelligenceparticle filter under non-Gaussian noise[J]. Applied Science and Technology, 2011, 38(9): 15-18,22. DOI: 10.3969/j.issn.1009-671X.2011.09.04 | |
| Authors: | LI Yibing PENG Tao GAO Zhenguo |
| Affiliation: | LI Yibing,PENG Tao,GAO Zhenguo(1.Navy Ship Support Representative Office Stationed in Harbin,Harbin 150001,China,2.College of Information and Communication Engineering,Harbin Engineering University,3.College of Automation,China) |
| Abstract: | The particle filter is applicable to any kind of state estimation in nonlinear non-Gaussian system,and it has a wide range of application and flexibility.The choice of the proposed distribution directly determines the estimation accuracy and estimation efficiency.Aiming at the difficulty,a particle swarm optimization particle filter is proposed to determine the proposed distribution.The particle swarm optimization algorithm as a new intelligence algorithm also adapts all types of non-linear non-Gaussian sys... |
| Keywords: | particle filter multi-user detection swarm intelligence algorithm particle swarm optimization non-Gaussian noise |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |