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A More Efficient AOA Method for 2D and 3D Direction Estimation with Arbitrary Antenna Array Geometry

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Abstract

Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.

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References

  1. Godara, L.C.: Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations. Proc. IEEE 85, 1195–1245 (1997)

    Article  Google Scholar 

  2. Bencheikh, M.L., Wang, Y.: Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar. Electron. Lett. 46, 1081–1083 (2010)

    Article  Google Scholar 

  3. Khan, M.A., Saeed, N., Ahmad, A.W., Lee, C.: Location awareness in 5G networks using RSS measurements for public safety applications. IEEE Access 5, 21753–21762 (2017)

    Article  Google Scholar 

  4. Capon, J.: High-resolution frequency-wavenumber spectrum analysis. Proc. IEEE 57, 1408–1418 (1969)

    Article  Google Scholar 

  5. Schmidt, R.: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 34, 276–280 (1986)

    Article  Google Scholar 

  6. Roy, R., Kailath, T.: ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans. ASSP 37, 984–995 (1989)

    Article  Google Scholar 

  7. Marcos, S., Marsal, A., Benidir, M.: The propagator method for source bearing estimation. Signal Process. 42, 121–138 (1995)

    Article  Google Scholar 

  8. Hameed, K.W., Al-Sadoon, M., Jones, S.M.R., Noras, J.M., Dama, Y.A.S., Masri, A., et al.: Low complexity single snapshot DoA method. In: 2017 Internet Technologies and Applications (ITA), pp. 244–248 (2017)

    Google Scholar 

  9. Al-Sadoon, M., Abd-Alhameed, R.A., Elfergani, I., Noras, J., Rodriguez, J., Jones, S.: Weight optimization for adaptive antenna arrays using LMS and SMI algorithms. WSEAS Trans. Commun. 15, 206–214 (2016)

    Google Scholar 

  10. Rao, B.D., Hari, K.V.S.: Performance analysis of Root-Music. IEEE Trans. Acoust. Speech Signal Process. 37, 1939–1949 (1989)

    Article  Google Scholar 

  11. Yan, F.-G., Cao, B., Rong, J.-J., Shen, Y., Jin, M.: Spatial aliasing for efficient direction-of-arrival estimation based on steering vector reconstruction. EURASIP J. Adv. Signal Process. 2016, 121 (2016)

    Article  Google Scholar 

  12. Hao, C., Orlando, D., Foglia, G., Ma, X., Yan, S., Hou, C.: Persymmetric adaptive detection of distributed targets in partially-homogeneous environment. Digit. Signal Process. 24, 42–51 (2014)

    Article  MathSciNet  Google Scholar 

  13. Xi, N., Liping, L.: 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 

  14. Al-Sadoon, M.A.G., et al.: New and less complex approach to estimate angles of arrival. In: Otung, I., Pillai, P., Eleftherakis, G., Giambene, G. (eds.) WiSATS 2016. LNICST, vol. 186, pp. 18–27. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53850-1_3

    Chapter  Google Scholar 

  15. Al-Sadoon, M.A., Ali, N.T., Dama, Y., Zuid, A., Jones, S.M.R., Abd-Alhameed, R.A., et al.: A new low complexity angle of arrival algorithm for 1D and 2D direction estimation in MIMO smart antenna systems. Sensors 17, 2631 (2017)

    Article  Google Scholar 

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Correspondence to M. A. G. Al-Sadoon .

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Al-Sadoon, M.A.G. et al. (2019). A More Efficient AOA Method for 2D and 3D Direction Estimation with Arbitrary Antenna Array Geometry. In: Sucasas, V., Mantas, G., Althunibat, S. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-05195-2_41

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  • DOI: https://doi.org/10.1007/978-3-030-05195-2_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05194-5

  • Online ISBN: 978-3-030-05195-2

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