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A self-calibration algorithm for cross array in the presence of mutual coupling

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Abstract

In this paper, a novel blind mutual coupling self-calibration algorithm especially tailored to cross array is proposed. This method compensates for the mutual coupling not only between sensors in each subarray but also between two subarrays. Exploiting the property of coupling matrix, the proposed method requires neither the calibration sources in known locations nor the multidimensional nonlinear search. This method can jointly estimate the DOAs of the incoming signals and the unknown mutual coupling coefficients, and has high estimation precision and low computational burden. Theoretical analysis and computer simulations show the effectiveness of the proposed algorithm.

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Authors and Affiliations

  1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China

    XiaoQin Hu

  2. Key Lab of Wuhan Radar Academy, Wuhan, 430019, China

    XiaoQin Hu, Hui Chen, YongLiang Wang & JianWen Chen

Authors
  1. XiaoQin Hu
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  2. Hui Chen
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  3. YongLiang Wang
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  4. JianWen Chen
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Correspondence to YongLiang Wang.

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Hu, X., Chen, H., Wang, Y. et al. A self-calibration algorithm for cross array in the presence of mutual coupling. Sci. China Inf. Sci. 54, 836–848 (2011). https://doi.org/10.1007/s11432-010-4144-0

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  • DOI: https://doi.org/10.1007/s11432-010-4144-0

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