期刊文献+

改进的快速稳健任意阵列天线方向图综合方法 被引量:6

Improved fast robust pattern synthesis method for arbitrary arrays
在线阅读 下载PDF
导出
摘要 针对任意阵列天线的方向图综合问题,提出了改进的基于线性约束最小方差准则方向图综合方法。该方法充分考虑综合方向图和参考方向图之间的相对幅度对方向图综合的影响,通过对迭代公式增加一比例常数,使得两者之间的相对幅度对干扰功率变化率的影响增强,不仅提高了干扰功率的迭代效率,即降低了迭代的次数,提高了方向图的综合效率,而且使得迭代系数的取值范围得到了扩展,即降低了迭代系数对方向图综合的影响,增强了方向图综合方法的应用范围和适用性。仿真分析验证了理论分析的正确性和所提方法的有效性。 For the problem of the pattern synthesis for arbitrary arrays, the improved pattern synthesis method based on the linearly constraint minimum variance is proposed. This algorithm takes into account the effect of the relative amplitude between synthesis pattern and its reference upon the pattern synthesis adequately, via adding a proportion constant to the iteration formula, the effect of their relative amplitude upon the changing ratio of the jammer power is strengthened, not only the iteration efficiency of the jammer power is improved, namely the iteration number is reduced, and the pattern synthesis efficiency is improved, but also the bound of the iteration coefficient is extended, namely the effect of the iteration coefficient upon the pattern synthesis is weakened, and the application area and applicability of the pattern synthesis method is enhanced. The simulation results proved its correctness and effectiveness.
出处 《电波科学学报》 EI CSCD 北大核心 2009年第1期104-110,共7页 Chinese Journal of Radio Science
基金 国家杰出青年基金(No.60825104) 国家自然科学基金重点项目(No.60736009)
关键词 阵列天线综合 方向图综合 线性约束最小方差准则 迭代效率 antenna array synthesis pattern synthesis linearly constraint minimum variance criterion iteration efficiency
  • 相关文献

参考文献9

  • 1DOLPH C L. A current distribution for broadside arrays which optimizes the relationship between beam width and sidelobe level[J]. Proc IRE, 1946, 34(6): 335-348.
  • 2ZHOU P, INGRAM M. Pattern synthesis for arbitrary arrays using an adaptive array method[J]. IEEE Transactions on Antennas And Propagation, 1999, 47 (5) :862-869.
  • 3WANG F, BALAKRISHNAN V, ZHOU P Y, et al. Optimal array pattern synthesis using semidefinite programming[J]. IEEE Transactions on Signal Processing, 2003, 51(5):1172-1183.
  • 4GUO Q, LIAO G, WU Y, et al. Pattern synthesis method for arbitrary arrays based on LCMV criterion [J]. Electronics Letters,2003, 39(23) :1628-1630.
  • 5XIE Yao, JIAN Li, ZHENG Xiayu, et al. Optimal array pattern synthesis via matrix weighting[C]. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing-Proceedings, Honolulu, HI, United States, IEEE Inc., Piscataway, NJ 08855-1331, United States, 2007 :885-888.
  • 6KURUP D G, HIMDI M, RYDBERG A. Synthesis of uniform amplitude unequally spaced antenna arrays using the differential evolution algorithm [J]. IEEE Transactions on Antennas And Propagation, 2003, 51 (9) :2210-2217.
  • 7BOERINGER D W, WERNER D H. Particle swarm optimization versus genetic algorithms for phased array synthesis[J]. IEEE Transactions on Antennas And Propagation,2004, 52(3) :771-779.
  • 8焦永昌,杨科,陈胜兵,张福顺.粒子群优化算法用于阵列天线方向图综合设计[J].电波科学学报,2006,21(1):16-20. 被引量:59
  • 9金荣洪,袁智皓,耿军平,范瑜,李佳靖.基于改进粒子群算法的天线方向图综合技术[J].电波科学学报,2006,21(6):873-878. 被引量:33

二级参考文献24

  • 1任盛海,吴志忠.遗传算法在阵列天线方向图综合设计中的应用[J].电波科学学报,1996,11(4):62-67. 被引量:14
  • 2J Kennedy , R Eberhart. Particle swarm optimization[A]. In Proc IEEE Int Conf. Neural Networks [C].Perth, Australia , 1995, 1942-1948.
  • 3J Robinson, Y. Rahmat-samii particle swarm optimization in electromagnetics [J]. IEEE Trans on AP 2004, 52(2):397-407.
  • 4Dennis Gies, Yahya Rahmat-Samii. Particle swarm optimization for reconfigurable phase-differentiated array design[J]. Microwave and optical technology letter,2003,38(3): 168-175.
  • 5D W Boeringer,D H. Werner particle swarm optimization versus genetic algorithms for phased array synthesis[J]. IEEE Trans on AP, 2004, 52(3): 771-779.
  • 6Yuhui Shi,Russel C Eberhart. Empirical study of particle swarm optimization [A]. Proc of the Congress on Evolutionary Computation [C]. Washington DC,1999: 1945-1950.
  • 7王茂光,吕善伟.阵列天线分析与综合[M].电子科技大学出版社,1988.
  • 8Kennedy J, Eberhart R C. Particle swarm optimization [J]. Proc. of IEEE International Conference on Neural Networks, IEEE Service Center, 1995, Ⅳ: 1942-1948.
  • 9Eberhart R C, Kennedy J. A new optimizer using particle swarm theory [J]. Proc. of Sixth International Symposium on Micro Machine and Human Science,Nagoya, Japan, 1995, pp. 39-43.
  • 10Shi Y, Eberhart R C. A modified particle swarm optimizer[J]. Proceeding of the IEEE Congress on Evolutionary Computation (CEC 1998), Piscataway, N.J. ,1998, pp. 69-73.

共引文献74

同被引文献65

引证文献6

二级引证文献10

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