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Future Internet 2013, 5(4), 611-630; doi:10.3390/fi5040611
Article

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

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Received: 1 November 2013 / Revised: 6 December 2013 / Accepted: 10 December 2013 / Published: 16 December 2013
(This article belongs to the Special Issue Green Communications and Networking)
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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.
Keywords: direction-of-arrival (DOA) estimation; conformal array; arbitrary baseline algorithm direction-of-arrival (DOA) estimation; conformal array; arbitrary baseline algorithm
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Wan, L.; Liu, L.; Han, G.; Rodrigues, J.J.P.C. A Low Energy Consumption DOA Estimation Approach for Conformal Array in Ultra-Wideband. Future Internet 2013, 5, 611-630.

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