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A Direction-of-Arrival Estimation Method via Joint Diagonalization

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Abstract

A new Direction-of-Arrival (DOA) estimation method based on a joint diagonalization strategy for fast blind source separation (named FBSS-DOA) is proposed in this paper. A group of spatial temporal correlation matrices of the received signals by an array of sensors possessing diagonal structure is generated. A cost function of joint diagonalization for blind source separation is introduced. For solving this cost function, a fast multiplied iterative algorithm in complex-valued domain is utilized. The demixing matrix is then estimated, the manifold matrix is derived and the estimation of DOA can furthermore be realized. Compared with some other state-of-art existing DOA algorithms, the proposed FBSS-DOA algorithm has more generality. Numerous simulations illustrate that this algorithm possesses more accurate DOA estimation performance.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61201407, No. 61473047), in part by China Postdoctoral Science Foundation (Grant No. 2013M542309), in part by Natural Science Foundation Research Project of Shaanxi Province, China (Grant No. 2016JQ5103) and in part by the Special Fund for Basic Scientific Research of Central Colleges, Chang’an University (Grant No. 0009-2014G1321038).

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Authors and Affiliations

  1. School of Electronic and Control Engineering, Chang’an University, Xi’an, 710064, Shaanxi, China

    Xian-Feng Xu & Chen-Dong Duan

  2. School of Highway, Chang’an University, Xi’an, 710064, Shaanxi, China

    Lai-Jun Liu

  3. School of Information Engineering, Chang’an University, Xi’an, 710064, Shaanxi, China

    Xiao-Jun Yang

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  1. Xian-Feng Xu
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  2. Chen-Dong Duan
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Correspondence to Xian-Feng Xu.

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Xu, XF., Duan, CD., Liu, LJ. et al. A Direction-of-Arrival Estimation Method via Joint Diagonalization. Wireless Pers Commun 96, 6037–6046 (2017). https://doi.org/10.1007/s11277-017-4462-2

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  • DOI: https://doi.org/10.1007/s11277-017-4462-2

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