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A 2-D DOA Estimation Algorithm for Closely Spaced Sources with L-Shaped Array

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Abstract

In this paper, a two-dimensional (2-D) direction of arrival (DOA) estimation algorithm is developed for closely spaced sources with L-shaped array. In the proposed algorithm, we formulate two special matrices related to the covariance matrix of the antenna output by using matrix multiplication, the nonzero eigenvalues and corresponding eigenvectors of which contain the pair matching and DOA information, respectively. The pair-matching procedure is carried out by dealing with the nonzero eigenvalues of two spacial matrices, and theoretical analysis indicates that the pair-matching procedure does not result in the pair-matching failure. The DOAs of the sources are estimated by utilising the eigenvectors corresponding to nonzero eigenvectors, and the DOA estimation accuracy is significantly improved by this means. We also discuss the reason why the presented method can distinguish closely spaced sources. The simulation results validate the performance of the proposed algorithm.

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References

  1. S.O. Al-Jazzar, D.C. McLernon, M.A. Smadi, SVD-based joint azimuth/elevation estimation with automatic pairing. Signal Process. 90, 1669–1675 (2010)

    Article  MATH  Google Scholar 

  2. R. Chavanne, K. Abed-Meraim, D. Medynski, Two-step MUSIC algorithm for improved array resolution, in Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, 512–515 (2002)

  3. M. Donelli, F. Viani, P. Rocca, A. Massa, An innovative multiresolution approach for DOA estimation based on a support vector classification. IEEE Trans. Antennas Propag. 57, 2279–2292 (2009)

    Article  Google Scholar 

  4. J.F. Gu, P. Wei, Joint SVD of two cross-correlation matrices to achieve automatic pairing in 2-D angle estimation problems. IEEE Antennas Wirel. Propag. Lett. 6, 553–556 (2007)

    Article  Google Scholar 

  5. B. Halder, T. Kailath, Efficient estimation of closely spaced sinusoidal frequencies using subspace-based methods. IEEE Signal Process. lett. 4, 49–51 (1997)

    Article  Google Scholar 

  6. A.R. Horn, R.C. Johnson, Matrix Analysis (Cambridge University Press, Cambridge, 1985)

    Book  MATH  Google Scholar 

  7. H. Krim, M. Viberg, Two decades of array signal processing research. IEEE Signal Process. Mag. 13, 67–94 (1996)

    Article  Google Scholar 

  8. J.L. Liang, D. Liu, Joint elevation and azimuth direction finding using L-shaped array. IEEE Trans. Antennas Propag. 30, 2136–2141 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  9. A. Navia-Vazquez, M. Martinez-Ramon, L.E. Garcia-Munoz, C.G. Christodoulou, Approximate kernel orthogonalization for antenna array processing. IEEE Trans. Antennas Propag. 58, 3942–3950 (2010)

    Article  Google Scholar 

  10. X. Nie, L.P. Li, A computationally efficient subspace algorithm for 2-D DOA estimation with L-shaped array. IEEE Signal Process. Lett. 21, 971–974 (2014)

    Article  Google Scholar 

  11. M. Pastorino, A. Randazzo, A smart antenna system for direction of arrival estimation based on a support vector regression. IEEE Trans. Antennas Propag. 53, 2161–2168 (2005)

    Article  Google Scholar 

  12. R. Roy, T. Kailath, ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans. Acoust. Speech Signal Process. 37, 984–995 (1989)

    Article  MATH  Google Scholar 

  13. R.O. Schmidt, Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 3, 276–280 (1986)

    Article  Google Scholar 

  14. D.N. Swingler, Simple approximations to the Cramer-Rao lower bound on direction of arrival for closely spaced sources. IEEE Trans. Signal Process. 41, 1668–1672 (1993)

    Article  MATH  Google Scholar 

  15. H. van Tree, Detection, Estimation, and Modulation Theory-Part IV Optimum Array Processing (Wiley, New York, 2002)

    Google Scholar 

  16. G.M. Wang, J.M. Xin, N.N. Zheng, A. Sano, Computationally efficient subspace-based method for two-dimensional direction estimation with L-shaped array. IEEE Trans. Signal Process. 59, 3197–3212 (2011)

    Article  MathSciNet  Google Scholar 

  17. M. Wax, T. Kailath, Detection of signal by information theoretic criteria. IEEE Trans. Acoust. Speech, Signal Process. 33, 387–392 (1985)

    Article  MathSciNet  Google Scholar 

  18. Y.S. Wei, X.J. Guo, Pair-matching method by signal covariance matrices for 2D-DOA estimation. IEEE Antennas Wirel. Propag. Lett. 13, 1199–1202 (2014)

    Article  Google Scholar 

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Xi, N., Guobing, Q., Xianbing, X. et al. A 2-D DOA Estimation Algorithm for Closely Spaced Sources with L-Shaped Array. Circuits Syst Signal Process 36, 4498–4511 (2017). https://doi.org/10.1007/s00034-017-0525-6

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  • DOI: https://doi.org/10.1007/s00034-017-0525-6

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