Systems Engineering and Electronics

Previous Articles     Next Articles

Pattern synthesis for OAR based on uncertain dependent-chance programming

LONG Weijun1,2, GONG Shufeng3, HAN Qinghua1, SHANG Ni1, WEI Haitao4   

  1. (1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Nanjing Research Institute of Electronics Technology, Nanjing 210039, China; 3. College of Information
    Engineering, Zhejiang University of Technology, Hangzhou 310000, China; 4. State Key Laboratory of
    Satellite Navigation System and Equipment Technology, Shijiazhuang 050081, China)
  • Online:2016-12-28 Published:2010-01-03

Abstract:

The problem of the antennas pattern synthesis for opportunistic array radar (OAR) is studied. When antennas are distributed in different areas, a new pattern synthesis algorithm is proposed to solve multi-task antennas resource management. This algorithm is based on uncertain theory, which takes into consideration the uncertainty of the antenna elements,such as location distribution, elements excited state and other uncertainty factors. It adopts fuzzy random variables to describe the fuzziness and randomness in uncertain environments, and builds a fuzzy random dependent-chance programming model in the case of the antennas constrained. In order to obtain the optimal solution, a new hybrid intelligent searching method is designed, which includes genetic algorithms and fuzzy random simulation. Finally, simulation examples and results prove the validity and robust stability of the uncertain programming and the design.

[an error occurred while processing this directive]