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2013 | OriginalPaper | Chapter

49. Performance Analysis of Adaptive DOA Estimation Algorithms for Mobile Applications

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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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Literature
1.
go back to reference Tsoulos G (1999) Smart antennas for mobile communication systems: benefits and challenges. IEE Electron Commun Eng J 11(2):84–94CrossRef Tsoulos G (1999) Smart antennas for mobile communication systems: benefits and challenges. IEE Electron Commun Eng J 11(2):84–94CrossRef
2.
go back to reference 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 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
3.
go back to reference Krim, H, Viberg M (1996) Two decades of array signal processing research. IEEE SP Mag 13:67–94 Krim, H, Viberg M (1996) Two decades of array signal processing research. IEEE SP Mag 13:67–94
4.
go back to reference Schmidt R (1986) Multiple emitter location and signal parameter estimation. IEEE Trans AP 34(3):276–280CrossRef Schmidt R (1986) Multiple emitter location and signal parameter estimation. IEEE Trans AP 34(3):276–280CrossRef
5.
go back to reference Paulraj A et. al (1986) A subspace rotation approach to signal parameter estimation. Proc IEEE 74(7):1044–1045 Paulraj A et. al (1986) A subspace rotation approach to signal parameter estimation. Proc IEEE 74(7):1044–1045
6.
go back to reference Roy R, Kailath T (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans ASSP 37(7):984–995CrossRef Roy R, Kailath T (1989) ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans ASSP 37(7):984–995CrossRef
7.
go back to reference 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 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
8.
go back to reference Therrien C (1992) Discrete random signals and statistical signal processing. Prentice Hall, NJMATH Therrien C (1992) Discrete random signals and statistical signal processing. Prentice Hall, NJMATH
9.
go back to reference Capon J et al (1967) multidimensional maximum likelihood processing of a large aperture seismic array. Proc IEEE 55(2):192–211 Capon J et al (1967) multidimensional maximum likelihood processing of a large aperture seismic array. Proc IEEE 55(2):192–211
10.
go back to reference 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 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
11.
go back to reference Viberg M et al (1991) Detection and estimation in sensor arrays using weighted subspace fitting. IEEE Trans SP 39(11):2436–2449CrossRef Viberg M et al (1991) Detection and estimation in sensor arrays using weighted subspace fitting. IEEE Trans SP 39(11):2436–2449CrossRef
12.
go back to reference Haykin S (ed) (1985) Army signal processing. Prentice-Hall, NJ Haykin S (ed) (1985) Army signal processing. Prentice-Hall, NJ
13.
14.
go back to reference Wax M, Ziskind I (1989) Detection of the number of coherent signals by the MDL principle. IEEE Trans ASSP 37(8):1190–1196CrossRef Wax M, Ziskind I (1989) Detection of the number of coherent signals by the MDL principle. IEEE Trans ASSP 37(8):1190–1196CrossRef
15.
go back to reference Ogawa Y, Kikuma N (1995) High-resolution techniques in signal processing antennas. IEICE Trans Commun E78-B(11):1435–1441 Ogawa Y, Kikuma N (1995) High-resolution techniques in signal processing antennas. IEICE Trans Commun E78-B(11):1435–1441
16.
go back to reference Shan T-J et al (1985) On spatial smoothing for direction-of-arrival estimation of coherent signals. IEEE Trans ASSP 33(4):806–811CrossRef Shan T-J et al (1985) On spatial smoothing for direction-of-arrival estimation of coherent signals. IEEE Trans ASSP 33(4):806–811CrossRef
17.
go back to reference Barabell A (1983) Improving the resolution performance of eigenstructure-based direction-finding algorithms. In: Proceedings of ICASSP ‘83, Boston, MA, pp. 336–339 Barabell A (1983) Improving the resolution performance of eigenstructure-based direction-finding algorithms. In: Proceedings of ICASSP ‘83, Boston, MA, pp. 336–339
18.
go back to reference Rao B, Had K (1989) Performance analysis of root-MUSIC. IEEE Trans ASSP 37(12):1939–1949 Rao B, Had K (1989) Performance analysis of root-MUSIC. IEEE Trans ASSP 37(12):1939–1949
19.
go back to reference Zoltowski M et al (1993) Beamspace root-MUSIC. IEEE Trans SP 41(1):344 Zoltowski M et al (1993) Beamspace root-MUSIC. IEEE Trans SP 41(1):344
20.
go back to reference 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 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
Metadata
Title
Performance Analysis of Adaptive DOA Estimation Algorithms for Mobile Applications
Authors
A. M. Prasanna Kumar
K. Suresh
Copyright Year
2013
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-1524-0_49