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Two-dimensional DOA estimation for acoustic vector-sensor array using a successive MUSIC

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Abstract

This paper discusses the problem of two-dimensional (2D) direction of arrival (DOA) estimation for acoustic vector-sensor array, and derives a successive multiple signal classification (MUSIC) algorithm therein. The proposed algorithm obtains initial estimations of the azimuth and elevation angles obtained from the signal subspace, and uses successively one-dimensional local searches to achieve the joint estimation of 2D-DOA. The proposed algorithm, which requires the one-dimension local searches, can avoid the high computational cost within 2D-MUSIC algorithm. The proposed algorithm can obtain automatically-paired 2D-DOA estimation for acoustic vector-sensor array, and it has better DOA estimation performance than propagator method, estimation of signal parameters via rotational invariance technique algorithm and trilinear decomposition algorithm. Meanwhile, it has very close angle estimation to 2D-MUSIC algorithm. Furthermore, it is suitable for non-uniform linear arrays, works well for the sources with the same azimuth angle, and imposes less constraint on the sensor spacing, which does not have to be restricted within half-wavelength. We have also derived the mean-square error of DOA estimation of the proposed algorithm and the Cramer-Rao bound of DOA estimation. Simulation results verify the usefulness of the proposed algorithm.

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Acknowledgments

This work is supported by China NSF Grants (60801052, 61271327, 61071164), Jiangsu Planned Projects for Postdoctoral Research Funds (1201039C), China Postdoctoral Science Foundation (2012M521099), Open project of key laboratory of underwater acoustic communication and marine information technology (Xiamen University), Hubei Key Laboratory of Intelligent Wire1ess Communications (IWC2012002), Open project of Key Laboratory of Nondestructive Testing (Nanchang Hangkong University), Open project of Key Laboratory of modern acoustic of Ministry of Education (Nanjing University), the Aeronautical Science Foundation of China(20120152001), and the Fundamental Research Funds for the Central Universities (NZ2012010, kfjj120115, kfjj20110215).

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Authors and Affiliations

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Zhang Xiaofei, Zhou Ming, Chen Han & Li Jianfeng

  2. Nanjing Panda Electronics Group, Nanjing, 210002, China

    Zhang Xiaofei

  3. Laboratory of Modern Acoustic of Ministry of Education, Nanjing University, Nanjing, 210093, China

    Zhang Xiaofei

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  1. Zhang Xiaofei
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  2. Zhou Ming
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  3. Chen Han
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  4. Li Jianfeng
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Correspondence to Zhang Xiaofei.

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Xiaofei, Z., Ming, Z., Han, C. et al. Two-dimensional DOA estimation for acoustic vector-sensor array using a successive MUSIC. Multidim Syst Sign Process 25, 583–600 (2014). https://doi.org/10.1007/s11045-012-0219-y

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  • DOI: https://doi.org/10.1007/s11045-012-0219-y

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