Advanced Search
Volume 36 Issue 12
Jan.  2015
Turn off MathJax
Article Contents
Yan Tao, Chen Jian-Wen, Bao Zheng. Optimization Design of Sparse 2-D Arrays for Over-The-Horizon Radar (OTHR) Based on Improved Genetic Algorithm[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3014-3020. doi: 10.3724/SP.J.1146.2013.02011
Citation: Yan Tao, Chen Jian-Wen, Bao Zheng. Optimization Design of Sparse 2-D Arrays for Over-The-Horizon Radar (OTHR) Based on Improved Genetic Algorithm[J]. Journal of Electronics & Information Technology, 2014, 36(12): 3014-3020. doi: 10.3724/SP.J.1146.2013.02011

Optimization Design of Sparse 2-D Arrays for Over-The-Horizon Radar (OTHR) Based on Improved Genetic Algorithm

doi: 10.3724/SP.J.1146.2013.02011
  • Received Date: 2013-12-23
  • Rev Recd Date: 2014-05-23
  • Publish Date: 2014-12-19
  • In light of the fact that enormous elements exist when applying the uniform rectangular planar array to skywave Over-The-Horizon Radar (OTHR), the sparse optimization approach of the uniform 2-D arrays using an improved genetic algorithm is proposed as follows: an optimal model for the sparse rectangular planar array is established from the view of beam shaping; initial population of the genetic algorithm is identified by elevation beam on the bases of the Direction-Of-Arrival (DOA) of multi-mode propagation echoes; the fitness function is revised for the purpose of avoiding early maturing and random walk; and both crossover and mutation operators are improved in order to achieve precise control of the sparsity ratio. Simulation results indicate that the precise control of the sparsity ratio and the optimized performance are obtained by using the improved genetic algorithm. Finally, the paper analyses the feasibility of 2-D arrays application into the OTHR engineering, indicates the conditions for application and existing technical challenges, and then presents the solutions accordingly.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1822) PDF downloads(508) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return