| 基于遗传算法RBF网络的波束形成 |
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| 引用本文： | 王尔馥,孟维晓,史兢. 基于遗传算法RBF网络的波束形成[J]. 哈尔滨工业大学学报, 2007, 39(1): 89-92 |
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| 作者姓名： | 王尔馥 孟维晓 史兢 |
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| 作者单位： | 哈尔滨工业大学,通信技术研究所,哈尔滨,150001;哈尔滨工业大学,通信技术研究所,哈尔滨,150001;哈尔滨工业大学,通信技术研究所,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目(60572039) |
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| 摘 要： | 为寻求自适应阵列天线技术在波束形成准确性和收敛速度上的突破,尝试引入智能控制理论中的优化算法.提出一种染色体长度可调的编码方式,用这种编码方式下的遗传算法同时训练RBF网络的网络参数和拓扑结构,将训练后的RBF网络用于上行链路的自适应波束形成.理论分析和仿真结果表明,染色体长度可调编码方式下的遗传算法是有效的,该算法能够比较准确地逼近理论上的最优权值,提高了算法的收敛速度.
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| 关 键 词： | 波束形成 LCMV准则 RBF网络 遗传算法 |
| 文章编号： | 0367-6234(2007)01-0089-04 |
| 修稿时间： | 2005-03-31 |
Beamforming based on RBF Networks of genetic algorithms |
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| WANG Er-fu,MENG Wei-xiao,SHI Jing. Beamforming based on RBF Networks of genetic algorithms[J]. Journal of Harbin Institute of Technology, 2007, 39(1): 89-92 |
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| Authors: | WANG Er-fu MENG Wei-xiao SHI Jing |
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| Affiliation: | Communication Research Center, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | In seek of breakthrough the veracity of beamforming and rapid rapidity of convergence for adaptive array antennas,we try to introduce the intelligent control theory to optimize the algorithms.A novel coding scheme with adjustable length of chromosome is presented.The Genetic algorithms can train the network parameters and topology structure of RBF networks under the proposed scheme.Then the trained RBF networks are used to build the uplink adaptive beamforming.Theoretical analysis and simulation results show that the genetic algorithms based on adjustable chromosome length encoding method is effective,the proposed algorithms can approach the theoretical optimal weights exactly,moreover,the rapidity of convergence is improved significantly. |
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| Keywords: | beamforming LCMV criteria RBF Networks genetic algorithms |
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