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基于迭代NUFFT的不等距阵列天线低副瓣方向图综合 被引量:4

Low Side Lobe Pattern Synthesis of Unequally Spaced Arrays Using Iterative NUFFT Algorithm
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摘要 针对不等间距阵列天线的低副瓣方向图综合问题,提出了一种基于非均匀快速傅立叶变换(NUFFT)的迭代算法。通过严格的数学推导,建立非均匀离散傅立叶变换(NUDFT)与天线阵因子之间的对应关系,利用过采样FFT系数的线性组合来近似表达复指数函数进而实现NUFFT,最后通过插值和反复的迭代有效地抑制了阵列天线的最大副瓣电平。结合等间距阵列和不等间距阵列的算例,对比粒子群算法的优化结果,验证了该算法的有效性和高效性。 The iterative nonuniform fast Fourier transform (NUFFT) algorithm for the low side lobe level pattern synthesis of unequally spaced arrays is presented. Through the strict mathematical derivation, a correspondence relationship between nonuniform discrete Fourier transform (NUDFF) and array factor is established. With the linear combination of over sampling F17F coefficient express complex exponential function approximately, finally it effectively reduces the peak side lobe level of linear array by interpolation and iteration. The effectiveness and efficiency of iterative NUFFT will be demonstrated for equally spaced and unequally spaced arrays, which are compared with PSO algorithm.
出处 《微波学报》 CSCD 北大核心 2013年第2期17-20,共4页 Journal of Microwaves
基金 航空科学基金(20101853019)
关键词 非均匀快速傅立叶变换(NUFFT) 直线阵 副瓣电平 优化 nonuniform fast Fourier transform( NUFFT), linear array, side lobe level, optimization
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参考文献9

  • 1胡星航,林德云.矩形平面阵列天线旁瓣电平优化的遗传算法[J].电子学报,1999,27(12):119-120. 被引量:14
  • 2杨丽娜,丁君,郭陈江,许家栋.基于遗传算法的阵列天线方向图综合技术[J].微波学报,2005,21(2):38-41. 被引量:26
  • 3Robinson J, Samii Y. Particle swarm optimization in e- lectromagnetics[ J ]. IEEE Transactions on Antennas and Propagation, 2004,52 ( 2 ) : 397-407.
  • 4Hsu F, Chan K K, Chang P R, et al. Optimal boresight error design of radomes of revolving symmetry [ J ]. Elec- tronics Letters, 1994,30 (19) : 1561-1562.
  • 5Will P, Keizer M N. Fast low-sidelobe synthesis for large planar array antennas utilizing successive fast fourier transforms of the array factor [ J ]. IEEE Trans. on Anten- nas Propag, 2007, 55 (3) :715-722.
  • 6Will P, Keizer M N. Low-sidelobe pattern synthesis using iterative Fourier techniques coded in MATLAB [ J ]. IEEE Antennas and Propagation Magazine, 2009,51 (2):137- 150.
  • 7Will P, Keizer M N. Large planar array thinning using it- erative FFI" techniques [ J ]. IEEE Transactions on Anten- nas and Propagation, 2009, 57 (10) :3359-3362.
  • 8Will P, Keizer M N. Linear array thinning using iterative FFT Techniques[ J]. IEEE Transactions on Antennas and Propagation, 2008,56 (8) :2757-2760.
  • 9Liu Q H, Nguyen N. An accurate algorithm for nonuni- form fast Fourier transform ( NUFF]"' s) [ J ]. IEEE Mi- crowave and Guided Wave Lett, 1998,8( 1 ) :18-20.

二级参考文献7

  • 1汪茂兴 昌善伟 等.阵列天线分析与综合[M].成都:电子科技大学出版社,1989..
  • 2汪茂光,阵列天线分析与综合,1989年
  • 3Haupt R L. An introduction to genetic algorithm for electromagenetics. IEEE Antennas Propagat Mag, 1995,37(2):7~15.
  • 4Weile D S, Michielssen E. Genetic algorithm optimization applied to electromagnetics:a review. IEEE Trans Antennes Propagation, 1997,45 (3) :343 ~ 353.
  • 5Yan Keen-Keong, Lu Yilong. Sidelobe reduction in array-pattern synthesis using genetic algorithm. IEEE Trans Antennes Propagation, 1997,45 (7): 1117 ~ 1122.
  • 6马云辉.阵列天线的遗传算法综合[J].电波科学学报,2001,16(2):172-176. 被引量:53
  • 7韩瑞峰,张永奎.一种改进的实数编码遗传算法[J].计算机工程与应用,2002,38(13):78-80. 被引量:24

共引文献37

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  • 1张海磊,刘玉杰.低副瓣双波束微带阵列天线[J].遥测遥控,2009,30(6):25-30. 被引量:4
  • 2杨辉,魏永辉,成票宁.测控雷达主、副瓣跟踪识别方法分析与应用[J].现代雷达,2004,26(9):23-25. 被引量:5
  • 3鄢社锋,马远良.二阶锥规划方法对于时空域滤波器的优化设计与验证[J].中国科学(E辑),2006,36(2):153-171. 被引量:33
  • 4Vain A, Yu X, Kaasalainen S, et ai. Correcting airborne laserscanning intensity data for automatic gain control effect [J].IEEE Geoscience and Remote Sensing Letters, 2010, 7(3):511-514.
  • 5Li Hua, Zhou Jian-jiang, and Zhu Gen-cai. A study onreal-time control for array hardware-in-the-loop RFSS basedon VMIC network[C]. Proceedings of the IEEE 2012International Conference on Microwave and Millimeter WaveTechnology, Shenzhen, China, 2012,5: 1-4.
  • 6Van Der Walt P W. The power density in the radiating nearfield region of directive antennas[C]. Proceedings of theIEEE-APS Topical Conference on Antennas and Propagationin Wireless Communications, Cape Town, South Africa, 2012:1165-1168.
  • 7Tao Xiang and Gong Shao-gang. Spectral clustering witheigenvector selection[J]. Pattern Recognition, 2008, 41(3):1012-1029.
  • 8Dietterich T G, Domingos P, Getoor L, et ai. Structuredmachine learning: the next ten years [J]. Machine Learning,2008, 73(1): 3-23.
  • 9Sapankevych N I and Sankar R. Time series prediction usingsupport vector machines: a survey [J]. IEEE ComputationalIntelligence Magazine, 2009, 4(2): 24-38.
  • 10Delaye A and Liu Cheng-li. Text/Non-text classification inonline handwritten documents with conditional randomfields [C]. Proceedings of the Chinese Conference on PatternRecognition, Beijing, China, 2012: 514-521.

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