An adaptive beamforming algorithm named robust joint iterative optimizationdirection adaptive （RJIO-DA） is proposed for large-array scenarios. Based on the framework of minimum variance distortionless response （MVD...An adaptive beamforming algorithm named robust joint iterative optimizationdirection adaptive （RJIO-DA） is proposed for large-array scenarios. Based on the framework of minimum variance distortionless response （MVDR）, the proposed algorithm jointly updates a transforming matrix and a reduced-rank filter. Each column of the transforming matrix is treated as an independent direction vector and updates the weight values of each dimension within a subspace. In addition, the direction vector rotation improves the performance of the algorithm by reducing the uncertainties due to the direction error. Simulation results show that the RJIO-DA algorithm has lower complexity and faster convergence than other conventional reduced-rank algorithms.展开更多
在简单遗传算法的基础上,针对无功优化的动态、多目标、多约束以及非线性特点,提出了基于简单遗传算法的改进算法.改进遗传算法中采用了个体适应度函数的线性变换、归一化的选择方法,以及定向变异策略的应用.以ward & Hale 6节点标...在简单遗传算法的基础上,针对无功优化的动态、多目标、多约束以及非线性特点,提出了基于简单遗传算法的改进算法.改进遗传算法中采用了个体适应度函数的线性变换、归一化的选择方法,以及定向变异策略的应用.以ward & Hale 6节点标准测试系统为例对该算法进行了有效性验证.仿真结果表明,该方法对电力系统的无功优化效果良好.展开更多
为提高无线通信能量效率以实现绿色通信,文中研究基于无线携能传输( Simultaneous Wireless Information and Power Transfer,SWIPT)技术的全双工中继协作系统能量效率优化问题,在功率分割协议下,以最大化能量效率为目标对功率分割因子...为提高无线通信能量效率以实现绿色通信,文中研究基于无线携能传输( Simultaneous Wireless Information and Power Transfer,SWIPT)技术的全双工中继协作系统能量效率优化问题,在功率分割协议下,以最大化能量效率为目标对功率分割因子和发射功率进行优化。首先,建立基于SWIPT 的全双工中继协作系统模型,信源节点和目的节点配置单根天线并由电源供电,中继节点配置两根天线并通过SWIPT 技术同时实现信息译码和能量收集。然后,证明能量效率是关于功率分割因子的凸函数,求解出最优功率分割因子以最大化能量效率;同时,研究了通过优化信源发射功率以提高系统能量效率的方案;并进一步提出基于迭代的联合优化算法对功率分割因子和发射功率进行联合优化。最后,通过仿真验证分析了所提优化算法的有效性,如该算法下系统能效与只优化发射功率情形相比,当功率分割因子为0.3 时,能效提升约7.07%;当功率分割因子为0.1时,能效提升约61.34%。展开更多
基金Supported by National Natural Science Foundation of China(61304079,61125306,61034002)the Open Research Project from SKLMCCS(20120106)+1 种基金the Fundamental Research Funds for the Central Universities(FRF-TP-13-018A)the China Postdoctoral Science.Foundation(201_3M_5305_27)
基金supported by the National Science&Technology Pillar Program(2013BAF07B03)Zhejiang Provincial Natural Science Foundation of China(LY13F010009)
文摘An adaptive beamforming algorithm named robust joint iterative optimizationdirection adaptive （RJIO-DA） is proposed for large-array scenarios. Based on the framework of minimum variance distortionless response （MVDR）, the proposed algorithm jointly updates a transforming matrix and a reduced-rank filter. Each column of the transforming matrix is treated as an independent direction vector and updates the weight values of each dimension within a subspace. In addition, the direction vector rotation improves the performance of the algorithm by reducing the uncertainties due to the direction error. Simulation results show that the RJIO-DA algorithm has lower complexity and faster convergence than other conventional reduced-rank algorithms.
文摘在简单遗传算法的基础上,针对无功优化的动态、多目标、多约束以及非线性特点,提出了基于简单遗传算法的改进算法.改进遗传算法中采用了个体适应度函数的线性变换、归一化的选择方法,以及定向变异策略的应用.以ward & Hale 6节点标准测试系统为例对该算法进行了有效性验证.仿真结果表明,该方法对电力系统的无功优化效果良好.
文摘为提高无线通信能量效率以实现绿色通信,文中研究基于无线携能传输( Simultaneous Wireless Information and Power Transfer,SWIPT)技术的全双工中继协作系统能量效率优化问题,在功率分割协议下,以最大化能量效率为目标对功率分割因子和发射功率进行优化。首先,建立基于SWIPT 的全双工中继协作系统模型,信源节点和目的节点配置单根天线并由电源供电,中继节点配置两根天线并通过SWIPT 技术同时实现信息译码和能量收集。然后,证明能量效率是关于功率分割因子的凸函数,求解出最优功率分割因子以最大化能量效率;同时,研究了通过优化信源发射功率以提高系统能量效率的方案;并进一步提出基于迭代的联合优化算法对功率分割因子和发射功率进行联合优化。最后,通过仿真验证分析了所提优化算法的有效性,如该算法下系统能效与只优化发射功率情形相比,当功率分割因子为0.3 时,能效提升约7.07%;当功率分割因子为0.1时,能效提升约61.34%。
