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Volume 28 Issue 8
Sep.  2010
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Zhang Yang, Deng Yun-Kai. Antenna Pattern Synthesis for Ambiguity Depressing in Spaceborne SAR Systems Based on Genetic Algorithms[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1472-1475.
Citation: Zhang Yang, Deng Yun-Kai. Antenna Pattern Synthesis for Ambiguity Depressing in Spaceborne SAR Systems Based on Genetic Algorithms[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1472-1475.

Antenna Pattern Synthesis for Ambiguity Depressing in Spaceborne SAR Systems Based on Genetic Algorithms

  • Received Date: 2004-11-09
  • Rev Recd Date: 2005-04-27
  • Publish Date: 2006-08-19
  • In this paper Genetic Algorithms(GA) are applied to antenna pattern synthesis according to ambiguity depressing in spaceborne SAR. The ambiguity of spaceborne SAR is regarded as the objective function, and the beamwidth and the side lobe level of the antenna pattern are regarded as the constraints. The simulation results show that the ambiguity is depressed while the beamwidth and the side lobe level are well controlled via this method, which is quite helpful to spaceborne SAR system designing.
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  • Barbarossa S. An antenna pattern synthesis technique for spaceborne SAR performance optimization. IEEE Trans. on Geoscience and Remote Sensing, 1991, 29(2): 255-259.[2]Haupt R. Genetic algorithm design of antenna arrays[J].IEEE Proceedings on Aerospace Applications Conference, Aspen, CO USA, Feb.1996, Vol. 1:103-109[3]张澄波. 综合孔径雷达原理、系统分析与应用. 北京: 科学出版社,1980: 475-477.[4]Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs. Berlin Heidelberg, Springer Press, 1992: 99-102.[5]Srinivas N, Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms[J].Evolutionary Computation.1995, 2(3):221-[6]Angantyr A, Andersson J, Aidanpaa J. Constrained optimization based on a multiobjective evolutionary algorithm. Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 3, IEEE Press, Canberra, Australia, December 2003: 1560-1567.
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