Array pattern synthesis via sparse weight vector finding and convex programming

  • Authors:
  • Hui Chen;Qun Wan;An Min Huang;Juan Wang

  • Affiliations:
  • Department of Electrical Engineering, University of Electronic Science and Technology, Chengdu, China;Department of Electrical Engineering, University of Electronic Science and Technology, Chengdu, China;Department of Electrical Engineering, University of Electronic Science and Technology, Chengdu, China;Department of Electrical Engineering, University of Electronic Science and Technology, Chengdu, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

In array pattern synthesis, smaller aperture or fewer elements are expected to obtain the desired array performance. In this paper, a novel approach is proposed to design a non-uniform array with a desired pattern. First, this problem is formulated as finding a sparse weight vector. Second, the antenna elements corresponding to nonzero values of the sparse weight vector are retained to form the non-uniform array. Finally, the weight vector of the non-uniform array is optimized via convex programming. Numerical examples are provided to verify the superior performance of the proposed method.