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Optimization on antenna pattern of spaceborne SAR with improved NSGA-II

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Journal of Electronics (China)

Abstract

Optimization of antenna array pattern used in a spaceborne Synthetic Aperture Radar (SAR) system is considered in this study. A robust evolutionary algorithm, Non-dominated Sorting Genetic Algorithms (the improved NSGA-II), is applied on a spaceborne SAR antenna pattern design. The system consists of two objective functions with two constraints. Pareto fronts are generated as a result of multi-objective optimization. After being validated by a test problem ZDT4, the algorithms are used to synthesize spaceborne SAR antenna radiation pattern. The good results with low Ambiguity-to-Signal Ratio (ASR) and high directivity are obtained in the paper.

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Authors and Affiliations

  1. National Key Laboratory of Microwave Imaging Technology, Beijing, 100190, China

    Jiang Xiao, Xiaoqing Wang & Minhui Zhu

  2. Institute of Electronics, Chinese Academy of Sciences, Beijing, 100190, China

    Jiang Xiao, Xiaoqing Wang, Minhui Zhu & Liu Xiao

Authors
  1. Jiang Xiao
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  2. Xiaoqing Wang
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  3. Minhui Zhu
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  4. Liu Xiao
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Corresponding author

Correspondence to Jiang Xiao.

Additional information

Communication author: Xiao Jiang, male, Ph.D.

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Xiao, J., Wang, X., Zhu, M. et al. Optimization on antenna pattern of spaceborne SAR with improved NSGA-II. J. Electron.(China) 26, 443–447 (2009). https://doi.org/10.1007/s11767-008-0020-0

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  • DOI: https://doi.org/10.1007/s11767-008-0020-0

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