Low-complexity adaptive step size constrained constant modulus SG algorithms for adaptive beamforming

Signal Processing

Volumn 89, Issue 12, 2009, Pages 2503-2513

  Wang, Lei ^a   de Lamare, Rodrigo C ^a   Long Cai, Yun ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Adaptive beamforming techniques; Constrained constant modulus (CCM); Modified adaptive step size (MASS); Spatial division multiple access (SDMA); Time averaging adaptive step size (TAASS)

Indexed keywords

ADAPTIVE BEAMFORMING TECHNIQUES; CONSTRAINED CONSTANT MODULUS (CCM); MODIFIED ADAPTIVE STEP SIZE (MASS); SPATIAL-DIVISION MULTIPLE ACCESS (SDMA); TIME AVERAGING ADAPTIVE STEP SIZE (TAASS);

BEAMFORMING; COMMUNICATION CHANNELS (INFORMATION THEORY); DENSITY (SPECIFIC GRAVITY); ENERGY CONSERVATION; MULTIPLE ACCESS INTERFERENCE; RADIO INTERFERENCE; SPACE DIVISION MULTIPLE ACCESS; VISUAL COMMUNICATION;

ADAPTIVE ALGORITHMS;

EID: 67651108784     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.04.018     Document Type: Article

References (41)

1. Griffiths L.J., and Jim C.W. An alternative approach to linearly constrained adaptive beamforming. IEEE Trans. Antennas Propag. AP-30 (January 1982) 27-34
2. Kameda Y., and Ohga J. Adaptive microphone-array system for noise reduction. IEEE Trans. Acoust. Speech Signal Process. ASSP-34 (December 1986) 1391-1400
3. Gershman A.B., Turchin V.I., and Zverev V.A. Experimental results of localization of moving underwater signal by adaptive beamforming. IEEE Trans. Signal Process. 43 (October 1995) 2249-2257
4. Gershman A.B., Nemeth E., and Bohme J.F. Experimental performance of adaptive beamforming in sonar environment with a towed array and moving interfering sources. IEEE Trans. Signal Process. 48 (January 2000) 246-250
5. Farsakh C., and Nossek J.A. Spatial covariance based downlink beamforming in an SDMA mobile radio system. IEEE Trans. Commun. 46 (November 1998) 1497-1506
6. Chung J., Hwang C.S., Kim K., and Kim Y.K. A random beamforming technique in MIMO systems exploiting multiuser diversity. IEEE J. Sel. Areas Commun. 21 (June 2003) 848-855
7. Gershman A.B. Robust adaptive beamforming in sensor arrays. Int. J. Electron. Commun. 53 (December 1999) 1365-1376
8. Anderson S., Millnert M., Viberg M., and Wahlberg B. An adaptive array for mobile communication systems. IEEE Trans. Vehicular Technol. 40 (February 1991) 230-236
9. Li J., and Stoica P. Robust Adaptive Beamforming (2006), Wiley, Hoboken, NJ
10. Roy R., and Kailath T. ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans. Signal Process. 37 (July 1989) 984-995
11. Stoica P., and Gershman A.B. Maximum-likelihood DOA estimation by data-supported grid search. IEEE Lett. Signal Process. 6 (October 1999) 273-275
12. Madhow U., and Honig M.L. MMSE interference suppression for direct-sequence spread-spectrum CDMA. IEEE Trans. Commun. 42 (December 1994) 3178-3188
13. Honig M., Madhow U., and Verdu S. Blind adaptive multiuser detection. IEEE Trans. Inf. Theory 41 (July 1995) 944-960
14. Godard D.N. Self-recovering equalization and carrier tracking in two-dimensional data communication systems. IEEE Trans. Commun. 28 (November 1980) 1867-1875
15. Treichler J., and Agee B. A new approach to multipath correction of constant modulus signals. IEEE Trans. Signal Process. 31 (April 1983) 459-472
16. Shynk J.J., and Gooch R.P. The constant modulus array for cochannel signal copy and direction finding. IEEE Trans. Signal Process. 44 (March 1996) 652-660
17. Johnson Jr. R., Schniter P., Endres T.J., and Behm J.D. Blind equalization using the constant modulus criterion: a review. IEEE Proc. 86 (October 1998) 1927-1950
18. L. Wang, R.C. de Lamare, Constrained constant modulus RLS-based blind adaptive beamforming algorithm for smart antennas, in: IEEE Proceedings, International Conference on Wireless Communication System ISWCS, 2007, pp. 657-661.
19. L. Wang, Y.L. Cai, R.C. de Lamare, Low-complexity adaptive step size constrained constant modulus SG-based algorithms for blind adaptive beamforming, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008, pp. 2593-2596.
20. Chen Y., Le-Ngoc T., Champagne B., and Xu C. Recursive least squares constant modulus algorithm for blind adaptive array. IEEE Trans. Signal Process. 52 (May 2004) 1452-1456
21. Xu Z.Y., and Liu P. Code-constrained blind detection of CDMA signals in multipath channels. IEEE Signal Process. Lett. 9 (December 2002) 389-392
22. Haykin S. Adaptive Filter Theory. fourth ed. (1996), Prentice-Hall, Englewood Cliffs, NJ
23. Mathews V.J., and Xie Z. A stochastic gradient adaptive filter with gradient adaptive step size. IEEE Trans. Signal Process. 41 (June 1993) 2075-2087
24. Kushner H.J., and Yang J. Analysis of adaptive step-size SA algorithms for parameter tracking. IEEE Trans. Autom. Control 40 (August 1995) 1403-1410
25. Soo J., and Pang K.K. A multi step size frequency domain adaptive filter. IEEE Trans. Signal process. 39 (January 1991) 115-121
26. Evans J.B., Xue P., and Liu B. Analysis and implementation of variable step size adaptive algorithms. IEEE Trans. Signal Process. 41 (August 1993) 2517-2535
27. Widrow B., and Stearns S.D. Adaptive Signal Processing (1985), Prentice-Hall, Englewood Cliffs, NJ
28. Kwong R.H., and Johnston E.W. A variable step size LMS algorithm. IEEE Trans. Signal Process. 40 (July 1992) 1633-1642
29. Aboulnasr T., and Mayyas K. A robust variable step-size LMS-type algorithm: analysis and simulations. IEEE Trans. Signal Process. 45 (March 1997) 631-639
30. de Lamare R.C., and Sampaio-Neto R. Low-complexity variable step-size mechanisms for stochastic gradient algorithms in minimum variance CDMA receivers. IEEE Trans. Signal Process. 54 (June 2006) 2302-2317
31. Mai J., and Sayed A.H. A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers. IEEE Trans. Signal Process. 48 (January 2000) 80-91
32. Keerthi A.V., Mathur A., and Shynk J. Misadjustment and tracking analysis of the constant modulus array. IEEE Trans. Signal Process. 46 (January 1998) 51-58
33. Kwon O.W., Un C.K., and Lee J.C. Performance of constant modulus adaptive digital filters for interference cancellation. IEEE Trans. Signal Process. 26 (February 1992) 185-196
34. Rupp M., and Sayed A.H. A time-domain feedback analysis of filtered-error adaptive gradient algorithms. IEEE Trans. Signal Process. 44 (June 1996) 1428-1439
35. Yousef N.R., and Sayed A.H. A unified approach to the steady-state and tracking analyses of adaptive filters. IEEE Trans. Signal Process. 49 (February 2001) 314-324
36. Stoica P., and Nehorai A. Music maximum likelihood and Cramer-Rao bound. IEEE Trans. Acoust. Speech Signal Process. 37 (May 1989) 720-741
37. Sayed A.H., and Rupp M. A time-domain feedback analysis of adaptive algorithms via the small gain theorem. Proc. SPIE 2563 (July 1995) 458-469
38. Zeng H.H., Tong L., and Johnson C.R. Relationships between the constant modulus and Wiener receivers. IEEE Trans. Inf. Theory 44 (July 1998) 1523-1538
39. Whitehead J.B., and Takawira F. Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector. IEEE Trans. Signal Process. 53 (February 2005) 643-653
40. Verdu S. Multiuser Detection (1998), Cambridge University Press, Cambridge, UK
41. Sayed A.H. Fundamentals of Adaptive Filtering (2003), Wiley, New York