2015-03-16
Array Aperture Extension Algorithm for 2-d DOA Estimation with L-Shaped Array
By
Progress In Electromagnetics Research Letters, Vol. 52, 63-69, 2015
Abstract
In this paper, an array aperture extension algorithm is developed for two-dimensional (2-D) direction-of-arrival (DOA) estimation with L-shaped array. We enlarge the dimension of the covariance matrix by using the rotational invariance in conjunction with the property that the signal covariance matrix is real diagonal matrix. Estimation of DOAs is performed by processing this larger dimensional matrix. The simulation results indicate that our method can improve the DOA estimation accuracy.
Citation
Xi Nie, and Ping Wei, "Array Aperture Extension Algorithm for 2-d DOA Estimation with L-Shaped Array," Progress In Electromagnetics Research Letters, Vol. 52, 63-69, 2015.
doi:10.2528/PIERL15011502
References

1. Krim, H. and M. Viberg, "Two decades of array signal processing research," IEEE Signal Process. Mag., Vol. 13, No. 4, 67-94, 1996.
doi:10.1109/79.526899        Google Scholar

2. Kikuchi, S., H. Tsuji, and A. Sano, "Pair-matching method for estimating 2-D angle with a cross-correlation matrix," IEEE Antennas Wireless Propag. Lett., Vol. 5, 35-40, 2006.
doi:10.1109/LAWP.2005.863610        Google Scholar

3. Gu, J. F. and P. Wei, "Joint SVD of two cross-correlation matrices to achieve automatic pairing in 2-D angle estimation problems," IEEE Antennas Wireless Propag. Lett., Vol. 6, 553-556, 2007.
doi:10.1109/LAWP.2007.907913        Google Scholar

4. Liang, J. L. and D. Liu, "Two L-shaped array-based 2-D DOAs estimation in the presence of mutual coupling," Progress In Electromagnetics Research, Vol. 112, 273-298, 2011.
doi:10.2528/PIER10071701        Google Scholar

5. Nie, X. and L. P. Li, "A computationally efficient subspace algorithm for 2-D DOA estimation with L-shaped array," IEEE Signal Process. Lett., Vol. 21, No. 8, 971-974, 2014.
doi:10.1109/LSP.2014.2321791        Google Scholar

6. Albagory, Y. A., "Performance of 2-D DOA estimation for stratospheric platforms communications," Progress In Electromagnetics Research M, Vol. 36, 109-116, 2014.
doi:10.2528/PIERM14033102        Google Scholar

7. Roy, R. and T. Kailath, "ESPRIT — Estimation of signal parameters via rotational invariance techniques," IEEE Trans. Acoust., Speech, Signal Process., Vol. 37, No. 7, 984-995, 1989.
doi:10.1109/29.32276        Google Scholar

8. Nie, X. and L. P. Li, "A novel 2-D pair-matching algorithm using the special relation between the transition matrices and the autocorrelation matrix of the signals," 2013 International Conference on Communications, Circuits and Systems (ICCCAS), 265-268, 2013.
doi:10.1109/ICCCAS.2013.6765333        Google Scholar

9. Stoica, P. and A. Nehorai, "Performance study of conditional and unconditional direction-of-arrival estimation," IEEE Trans. Acoust., Speech, Signal Process., Vol. 38, No. 10, 1783-1795, 1990.
doi:10.1109/29.60109        Google Scholar

10. Golub, G. H. and C. F. Van Loan, Matrix Computations, 3rd Edition, The John Hopkins University Press, Baltimore, MD, 1996.