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Mutual Coupling Estimation in DOA Estimation for Mixed Wideband Signals

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Abstract

With the electromagnetic frequency getting higher and higher, the distance between the sensors is becoming smaller and smaller, so the mutual coupling is increasingly obvious, it will lead to the mismatch between actual and ideal array manifold. Therefore, a novel mutual coupling error calculation approach in direction of arrival (DOA) estimation for mixed wideband signals is provided in this paper. First, the signals are transformed on the focusing frequency. Then root finding is employed for determining the far-field signals. Finally, mutual coupling error can be calculated according to the orthogonality of far-field signal subspace and noise subspace.

J. Zhen—This work was supported by the National Natural Science Foundation of China under Grant No. 61501176 and 61505050, University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (UNPYSCT-2016017), China Postdoctoral Science Foundation (2014M561381), Heilongjiang Province Postdoctoral Foundation (LBH-Z14178), Heilongjiang Province Natural Science Foundation (F2015015), Outstanding Young Scientist Foundation of Heilongjiang University (JCL201504) and Special Research Funds for the Universities of Heilongjiang Province (HDRCCX-2016Z10).

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Correspondence to Jiaqi Zhen .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhen, J., Liu, Y., Li, Y. (2018). Mutual Coupling Estimation in DOA Estimation for Mixed Wideband Signals. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_61

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

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