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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 258))

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Abstract

Spatial filtering for mobile communications has attracted a lot of attention over the last decade and is currently considered a very promising technique that will help future cellular networks achieve their ambitious goals. One way to accomplish this is via array signal processing with algorithms which estimate the direction-of-arrival (DOA) of the received waves from the mobile users. This paper evaluates the performance of a number of DOA estimation algorithms. In all cases, a linear antenna array at the base station is assumed to be operating typical cellular environment.

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References

  1. Tsoulos G (1999) Smart antennas for mobile communication systems: benefits and challenges. IEE Electron Commun Eng J 11(2):84–94

    Article  Google Scholar 

  2. Tsoulos G et al (1998) Space division multiple access (SDMA) field trials. Part 1: tracking and BER performance & part 2: calibration and linearity issues. IEE Proc Radar Sonar Nav 145(1):73–84

    Google Scholar 

  3. Krim, H, Viberg M (1996) Two decades of array signal processing research. IEEE SP Mag 13:67–94

    Google Scholar 

  4. Schmidt R (1986) Multiple emitter location and signal parameter estimation. IEEE Trans AP 34(3):276–280

    Article  Google Scholar 

  5. Paulraj A et. al (1986) A subspace rotation approach to signal parameter estimation. Proc IEEE 74(7):1044–1045

    Google Scholar 

  6. Roy R, Kailath T (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans ASSP 37(7):984–995

    Article  Google Scholar 

  7. Haardt M, Nossek JA (1995) Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden. IEEE Trans SP 43(5):1232–1242

    Google Scholar 

  8. Therrien C (1992) Discrete random signals and statistical signal processing. Prentice Hall, NJ

    MATH  Google Scholar 

  9. Capon J et al (1967) multidimensional maximum likelihood processing of a large aperture seismic array. Proc IEEE 55(2):192–211

    Google Scholar 

  10. Fleury B et al (1996) Wideband angle of arrival estimation using the SAGE algorithm. In: Proceedings of the ISSSTA ‘96, Mainz, Germany, Sept 1996, pp 79–85

    Google Scholar 

  11. Viberg M et al (1991) Detection and estimation in sensor arrays using weighted subspace fitting. IEEE Trans SP 39(11):2436–2449

    Article  Google Scholar 

  12. Haykin S (ed) (1985) Army signal processing. Prentice-Hall, NJ

    Google Scholar 

  13. Wax M, Kailath T (1985) Detection of signals by information theoretic criteria. IEEE Trans ASSP 33(2):387–392

    Article  MathSciNet  Google Scholar 

  14. Wax M, Ziskind I (1989) Detection of the number of coherent signals by the MDL principle. IEEE Trans ASSP 37(8):1190–1196

    Article  Google Scholar 

  15. Ogawa Y, Kikuma N (1995) High-resolution techniques in signal processing antennas. IEICE Trans Commun E78-B(11):1435–1441

    Google Scholar 

  16. Shan T-J et al (1985) On spatial smoothing for direction-of-arrival estimation of coherent signals. IEEE Trans ASSP 33(4):806–811

    Article  Google Scholar 

  17. Barabell A (1983) Improving the resolution performance of eigenstructure-based direction-finding algorithms. In: Proceedings of ICASSP ‘83, Boston, MA, pp. 336–339

    Google Scholar 

  18. Rao B, Had K (1989) Performance analysis of root-MUSIC. IEEE Trans ASSP 37(12):1939–1949

    Google Scholar 

  19. Zoltowski M et al (1993) Beamspace root-MUSIC. IEEE Trans SP 41(1):344

    Google Scholar 

  20. Piechocki R, Tsoulos G (1999) A macrocellular radio channel model for smart antenna tracking algorithms. In: Proceedings of VTC’99, Houston, TX, May 1999, pp 1754–1758

    Google Scholar 

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Correspondence to A. M. Prasanna Kumar .

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© 2013 Springer India

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Prasanna Kumar, A.M., Suresh, K. (2013). Performance Analysis of Adaptive DOA Estimation Algorithms for Mobile Applications. In: Chakravarthi, V., Shirur, Y., Prasad, R. (eds) Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013). Lecture Notes in Electrical Engineering, vol 258. Springer, India. https://doi.org/10.1007/978-81-322-1524-0_49

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  • DOI: https://doi.org/10.1007/978-81-322-1524-0_49

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1523-3

  • Online ISBN: 978-81-322-1524-0

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