期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

球面共形天线阵列的稀布优化方法 被引量：5

An Optimization Method for Sparse Spherical Conformal Arrays
下载PDF
导出
摘要 为了抑制球面阵列峰值旁瓣电平,提出了一种基于改进遗传算法的阵元球面稀布优化算法(ESSA).首先采用遗传算法染色体对阵元位置信息进行特征提取,并利用染色体的的交叉、变异对位置信息进行优化重组,然后将重组前后的阵元位置信息合并成新的种群,最后在迭代过程中根据遗传算法适应度函数对阵元分布进行优化选择,从而建立最优阵元分布模型.与阵元球面均匀分布方法相比,EESA具有更大的阵元分布空间.仿真实验表明,经过遗传算法优化后所得最优阵元分布模型的峰值旁瓣电平较优化前约降低2.6dB,实验结果证明了ESSA可完全实现阵元可分布空间的随机寻优. An element spherical sparse algorithm （ESSA） based on a modified genetic algorithm （GA） is proposed to reduce the maximum relative side lobe level of spherical arrays. Features of the elements positions are extracted by using the chromosomes of GA, and the information of elements positions is restructured by means of crossover and mutation, then a new group is generated by merging new information of elements positions. Finally, the best elements positions distribution is generated from the fitness in iteration process, and the optimization model is obtained. ESSA has more degrees of freedom compared with the uniform elements distribution. Simulation results show that the proposed method reduces the maximum relative side lobe level by about 2.6 dB. It is shown that ESSA absolutely realizes randomly seeking in the solution space.
作者 杨继波 李会勇 陈客松 何子述
机构地区 电子科技大学电子工程学院
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2011年第4期77-81,共5页 Journal of Xi'an Jiaotong University
基金 国家自然科学基金资助项目(60702070)
关键词 球面阵列 遗传算法 球面稀布优化算法 旁瓣电平 spherical arrays genetic algorithm~ element spherical sparse algorithm side lobe level
分类号 TN820.1 [电子电信—信息与通信工程]
  • 相关文献

参考文献6

  • 1陈客松,何子述,韩春林.利用GA实现非对称稀疏线阵旁瓣电平的优化[J].电子与信息学报,2007,29(4):987-990. 被引量：10
  • 2HAUPT R L.Thinned arrays using genetic algorithms[J].IEEE Transactions on Antennas and Propagation,1994,42(7):993-999.
  • 3ANDREA T.Synthesizing asymmetric beam patterns[J].IEEE Journal of Oceanic Engineering,2000,25(3):347-350.
  • 4KOSMAS V D,ZAHARIAS D Z,DIMITRA G K.Thinned planar array design using Boolean PSO with velocity mutation[J].IEEE Transactions on Magnetics,2009,45(3):1490-1493.
  • 5魏平,徐成贤,段成德.全局智能优化集成算法研究[J].西安交通大学学报,2009,43(12):60-64. 被引量：2
  • 6HOFFMAN M.Conventions for the analysis of spherical arrays[J].IEEE Transactions on Antennas and Propagation,1963,11(4):390-393.

二级参考文献17

  • 1王玲玲,方大纲.运用遗传算法综合稀疏阵列[J].电子学报,2003,31(z1):2135-2138. 被引量：54
  • 2张可村,李焕琴.工程优化方法与应用[M].科学出版社,2006.
  • 3EIBEN A E, ARTS E H, VAN HEE K M. Global convergence of genetic algorithms: an infinite Markov chain analysis[C]//Parallel Problem Solving from Nature. Heidelberg, Berlin: Springer-Verlag, 1991 : 4-12.
  • 4RUDOLPH G. Convergence properties of canonical genetic algorithms[J].IEEE Trans on Neural Network, 1994,5(1) :96-101.
  • 5QI X, PALMIERI F. Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space: part I [J].IEEE Trans on Neural Network, 1994,5(1) : 102-119.
  • 6FAIGLE U, KEN W. Some convergence results for probabilistic tabu search[J]. ORSA J on Computing, 1992,4(1) :2-37.
  • 7WANG L,SMITH K. On chaotic simulated annealing [J].IEEE Transactions on Neural Networks, 1998, 9 (4) :716-718.
  • 8KEANE A J. Genetic algorithm optimization of multipeak problems: studies in convergence and robustness [J]. Artificial Intelligence in Engineering, 1995,9 (2) : 75-83.
  • 9WANG L, WANG M. A hybrid algorithm for earliness-tardiness scheduling problem with sequence dependent setup time[C]//Proc of the 36th IEEE Conf on Decision and Control. Piseataway, NJ, USA: IEEE, 1997:1219-1222.
  • 10彭宏,王兴华.具有Elitist选择的遗传算法的收敛速度估计[J].科学通报,1997,42(2):144-147. 被引量：18

共引文献10

同被引文献23

  • 1Hoffman M. "Conventions for Analysis of Spherical Arrays" [J]. IEEE Trans. Antennas and Propagation, 1963 , vol. 1, Page (s) 390 - 393.
  • 2Verhaevert J, Van Lil E, Van De Capelle A. "Uniform spherical distributions for adaptive array applications" [A]. IEEE Veh Tech- nolConf [C]. 2001, Vol. 1, no. 53, Page (s): 98-102.
  • 3Kumme W H. "Basic array theory" [J]. Proc. IEEE, 1992, vol. 80 (1), Page (s): 127-140.
  • 4You C C, Randy Haupt. "Low-sidelob pattern synthesis of spheri- cal arrays using a genetic algorithm" [J]. Microwave and optical technology letters, 2002, Vol. 32, No. 6.
  • 5You C C, Randy Haupt. "Adaptive Nulling with Spherical Arrays Using a Genetic Algorithm" [A]. IEEE. Antennas and Propaga- tion Society International Symposium [C]. 1999, Vol. 3, Page (s): 2000-2003.
  • 6Haupt R L. Phase-only adaptive nulling with a genetic algorithm [J]. IEEE Trans. Antenna Propagat, 1997, vol. AP-45: 1009 - 1015.
  • 7Sureau J C. Conformal arrays come of age[J]. Micro- wave Journal, 1973 ( 1 O) : 23.
  • 8Petko J S,Werner D H. The evolution of optimal linear polyfractal arrays using genetic algorithms[J]. IEEE Transactions on Antennas and Propagation, 2005, 55 (11) :3604 - 3615.
  • 9Allard R J,Werner D H, Werner P L. Radiation pattern synthesis for arrays of eonformal antennas mounted on arbitrarily-shaped three-dimensional platforms using genetic algorithms[J]. IEEE Transactions on Antennas and Propagation,2003,51(5) :1054 - 1062.
  • 10Bray M G, Werner D H, Boeringer D W. Optimization of thinned aperiodic linear phased arrays using genetic algorithms to reduce grating lobes during scanning[J]. IEEE Transactions on Antennas and Propagation, 2002,50(12) :1732 - 1742.

引证文献5

二级引证文献4

西安交通大学学报
2011年 第4期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部