| 改进分布估计算法求解多用户检测问题 |
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| 引用本文： | 刘婷,张立毅,张晋斌.改进分布估计算法求解多用户检测问题[J].信号处理,2015,31(11):1523-1530. |
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| 作者姓名： | 刘婷 张立毅 张晋斌 |
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| 作者单位： | 天津商业大学信息工程学院 |
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| 基金项目： | 国家自然科学基金项目(61401307) |
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| 摘 要： | 为了克服分布估计算法早熟收敛的缺点，本文提出一种多样性增强分布估计算法并将其用于优化多用户检测问题。改进算法在传统分布估计算法基础上，增加多样性判定及增强操作，采用独立个体密度评价种群多样性，并在独立个体密度低于多样性判定阈值时，随机变异实现多样性增强，避免算法早熟收敛。同时为了防止多样性增强导致优秀个体被消耗的现象，采样过程加入精英保留策略。仿真结果表明，该检测技术具有较快收敛速度，能有效避免早熟收敛，成功找到全局最优检测矢量，可实现与最优多用户检测技术相近的性能。
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| 关 键 词： | 最优多用户检测 分布估计算法 多样性增强 独立个体密度 |
| 收稿时间： | 2015-06-10 |
Improved Estimation of Distribution Algorithm to Solve Multiuser Detection |
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| Affiliation: | School of Information Engineering, Tianjin University of Commerce |
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| Abstract: | In order to overcome the shortcoming of premature for estimation of distribution algorithm, a diversity enhancement estimation of distribution algorithm was proposed. Meanwhile, the improved algorithm was used to optimize the problem of multiuser detection. The diversity determination and diversity enhancement operation were introduced into the improved algorithm. The independent individual density was used to evaluate population diversity. When the independent individual density is lower than the diversity threshold, the diversity enhancement operation was performed by random variation, which can avoid premature convergence. At the same time, in order to prevent outstanding individual being consumed by diversity enhancement, the elite retention strategy was added to the sampling procedure. The simulation results show that the detection proposed in this paper has faster convergence speed, can effectively avoid premature convergence and successfully find the global optimal detection vector. It has the same anti-multiple access interference performance and near-far resistance ability performance with the optimal multiuser detection. |
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