期刊文献+

结合傅立叶变换的差分进化算法在阵列波束展宽中的应用 被引量:3

Application of Differential Evolution Algorithm Combined Fourier Transform on Array Beam Broadening
下载PDF
导出
摘要 提出了一种新型阵列波束展宽的方法,使用差分进化算法结合傅立叶级数变换的初值对阵列波束进行展宽设计。与普通傅立叶级数变换法展宽波束相比,该方法获得主波束范围内的平坦度更好,且能得到更低的副瓣电平。推荐的方法还能避免传统差分进化算法收敛速度慢、易陷入局部最优的问题。文中使用该方法对一个21元的一维直线阵进行波束展宽优化设计。在等幅同相情况下,直线阵的3dB波束宽度为4.02o,使用推荐方法设计后,3dB波束宽度扩展到19.6o,主波束范围内的平坦度为0.21dB,证实了该方法的可行性。 A new method of array beam broadening is presented in this paper, which uses the differential evolution algorithm combined with Fourier series transform to broaden array beam. Compared with the traditional Fourier series transform, this method can obtain better gain flatness within the range of main beam and lower side lobe level. The presented method can also avoid the problems of having slow convergence speed and easily falling into local optima. The presented method is used to broaden the main beam of a 21 element linear array in this paper. When the elements are excited with the same amplitude and the same phase, the array has a 3-dB beamwidth of 4.02. After using the presented method, the array has a 3-dB beamwidth of 19.6 and the gain flatness within the range of the main beam is 0.21 dB, which validate this method.
出处 《现代导航》 2014年第2期131-135,共5页 Modern Navigation
基金 中国电子科技集团技术创新基金项目(JJ11114)
关键词 傅立叶变换法 差分进化算法 阵列天线 波束展宽 Fourier Transform Method Differential Evolution Algorithm Array Antennas Beam Broadening
  • 相关文献

参考文献3

二级参考文献13

  • 1Haupt L.Thinned arrays using genetic algorithms.IEEE Trans.on Antennas and Propagation,1994,42:993-999.
  • 2Boeringer W and Werner H.Particle swarm optimization versus genetic algorithms for phased array synthesis.IEEE Trans.on Antennas and Propagation,2004,52(3):771-779.
  • 3Kennedy J and Eberhart R C.Particle swarm optimization.Proc.IEEE International Conference on Neural Networks,IEEE Service Center,Perth,Australia.1995,Ⅳ:1942-1948.
  • 4Eberhart R C and Kennedy J.A new optimizer using particle swarm theory.Proceeding of Sixth International Symposium on Micro Machine and Human Science,Nagoya,Japan.1995:39-43.
  • 5Shi Y and Eberhart R C.A modified particle swarm optimizer.Proceeding of the IEEE Congress on Evolutionary Computation (CEC 1998),Piscataway,NJ.1998:69-73.
  • 6Eberhart R C and Shi Y.Comparing inertia weights and constriction factors in particle swarm optimization.Proceeding of IEEE Congress on Evolutionary Computation (CEC2000),San Diego,CA.2000:48-88.
  • 7Carlisle A and Dozier G.An off-the-shelf PSO.Proceedings of the 2001 Workshop on Particle Swarm Optimization,Indianapolis,IN.2001:1-6.
  • 8束咸荣;何炳发;高铁.相控阵雷达天线[M]北京:国防工业出版社,2007.
  • 9F.J.Villegas. Parallel genetic-algorithm optimization of shaped beam coverage areas using planar 2-D phased arrays[J].IEEE Transactions on Antennas and Propagation,2007,(06):1745-1753.
  • 10S.Selleri,M.Mussetta,P.Pirinoli,R.E.Zich,L.Matekovits. Differentiated meta-PSO methods for array optimization[J].IEEE Transactions on Antennas and Propagation,2008,(01):67-75.

共引文献23

同被引文献17

引证文献3

二级引证文献4

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