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A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband

Author

Listed:
  • Liangtian Wan

    (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)

  • Lutao Liu

    (College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)

  • Guangjie Han

    (Department of Information and Communication Systems, Hohai University, Changzhou 213022,China)

  • Joel J. P. C. Rodrigues

    (Instituto de Telecomunicações, University of Beira Interior, Covilhã 6201-001, Portugal)

Abstract

Most direction-of-arrival (DOA) estimation approaches for conformal array suffer from high computational complexity, which cause high energy loss for the direction finding system. Thus, a low energy consumption DOA estimation algorithm for conformal array antenna is proposed in this paper. The arbitrary baseline direction finding algorithm is extended to estimate DOA for a conformal array in ultra-wideband. The rotation comparison method is adopted to solve the ambiguity of direction finding. The virtual baseline approach is used to construct the virtual elements. Theoretically, the virtual elements can be extended in the space flexibility. Four elements (both actual and virtual elements) can be used to obtain a group of solutions. The space angle estimation can be obtained by using sub-array divided technique and matrix inversion method. The stability of the proposed algorithm can be guaranteed by averaging the angles obtained by different sub-arrays. Finally, the simulation results verify the effectiveness of the proposed method with high DOA estimation accuracy and relatively low computational complexity.

Suggested Citation

  • Liangtian Wan & Lutao Liu & Guangjie Han & Joel J. P. C. Rodrigues, 2013. "A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband," Future Internet, MDPI, vol. 5(4), pages 1-20, December.
  • Handle: RePEc:gam:jftint:v:5:y:2013:i:4:p:611-630:d:31399
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