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  • 标题:Synthesis of the Sum and Difference Patterns by a Hybrid Real/Integer-Coded Invasive Weed Optimization
  • 本地全文:下载
  • 作者:Hua Guo ; Chenjiang Guo ; Jun Ding
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:4
  • 页码:247-256
  • DOI:10.14257/ijsip.2016.9.4.23
  • 出版社:SERSC
  • 摘要:The optimization of the sum and difference patterns for monopulse antennas by a hybrid real/integer-coded invasive weed optimization (IWO) is introduced in this paper. The whole array aperture is divided into several subarrays. The configuration and weight of each subarray are optimized. In order to reduce the difficulty of designing the feeding networks of the array antenna, the elements of the same subarray stay together. Since only the weight and elements number of each subarray is optimized, the number of the optimized parameters is reduced significantly which will reduce the complexity of the simulation procedure. Several numerical simulations are applied to validate the effectiveness of the proposed approach.
  • 关键词:pattern synthesis; antenna arrays; monopulse antennas; sum and difference ; patterns; Invasive Weed Optimization
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