Use of time-frequency analysis and neural networks for mode identification in a wireless software-defined radio approach

Eurasip Journal on Applied Signal Processing

Volumn 2004, Issue 12, 2004, Pages 1778-1790

  Gandetto, Matteo ^a   Guainazzo, Marco ^a   Regazzoni, Carlo S ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Direct sequence code division multiple access; Frequency hopping code division multiple access; Mode identification; Pattern recognition; Software defined radio; Time frequency analysis

Indexed keywords

CODE DIVISION MULTIPLE ACCESS; FREQUENCY HOPPING; LOCAL AREA NETWORKS; NEURAL NETWORKS; PATTERN RECOGNITION; RADIO COMMUNICATION;

DIRECT SEQUENCE CODE DIVISION MULTIPLE ACCESS; FREQUENCY HOPPING CODE DIVISION MULTIPLE ACCESS; MODE IDENTIFICATION; SOFTWARE-DEFINED RADIO; TIME-FREQUENCY ANALYSIS;

SIGNAL PROCESSING;

EID: 10444247485     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S1110865704407057     Document Type: Conference Paper

References (35)

1. J. Mitola, Software Radio Architecture: Object-Oriented Approaches to Wireless Systems Engineering, John Wiley & Sons, New York, NY, USA, 2000.
2. T. Turletti and D. Tennenhouse, "Complexity of a software GSM base station," IEEE Communications Magazine, vol. 37, no. 2, pp. 113-117, 1999.
3. S. Mirabbasi and K. Martin, "Classical and modern receiver architectures," IEEE Communications Magazine, vol. 38, no. 11, pp. 132-139, 2000.
4. E. Buracchini, "The software radio concept," IEEE Communications Magazine, vol. 38, no. 9, pp. 138-143, 2000.
5. R. H. Walden, "Performance trends for analog to digital converters," IEEE Communications Magazine, vol. 37, no. 2, pp. 96-101, 1999.
6. R. D. Murch and K. B. Letaief, "Antenna systems for broad-band wireless access," IEEE Communications Magazine, vol. 40, no. 4, pp. 76-83, 2002.
7. M. Laddomada, F. Daneshgaran, M. Mondin, and R. M. Hickling, "A PC-based software receiver using a novel front-end technology," IEEE Communications Magazine, vol. 39, no. 8, pp. 136-145, 2001.
8. J. Mitola, Cognitive radio: an integrated agent architecture for software defined radio, Ph.D. Dissertation, Department of Teleinformatics Electrum 204, Royal Institute of Technology (KTH), Stockholm, Sweden, May 2000.
9. J. Mitola and G. Q. Maguire Jr., "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, 1999.
10. M. Mehta, N. Drew, G. Vardoulias, N. Greco, and C. Niedermeier, "Reconfigurable terminals: an overview of architectural solutions," IEEE Communications Magazine, vol. 39, no. 8, pp. 82-89, 2001.
11. H. Urkowitz, "Energy Detection of unknown deterministic signals," Proceedings of IEEE, vol. 55, no. 4, pp. 523-531, 1967.
12. C. Roland and J. Palicot, "A self-adaptive universal receiver, " Annales des Télécommunications, vol. 57, no. 5-6, pp. 421-456, 2002.
13. L. Cohen, Time-Frequency Analysis, Prentice-Hall, Englewood Cliffs, NJ, USA, 1995.
14. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice-Hall, Upper Saddle River, NJ, USA, 1999.
15. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, Cambridge University Press, Cambridge, UK, 2000.
16. IEEE 802.11b, "Wireless LAN MAC and PHY specifications; higher speed physical layer (PHY) extension in the 2.4 GHz band," 1999, supplement to 802.11.
17. Bluetooth standard, "Specification of the Bluetooth System," volume 1, www.bluetooth.com.
18. J. M. Peha, "Wireless communications and coexistence for smart environments," IEEE Personal Communications, vol. 7, no. 5, pp. 66-68, 2000.
19. P. J. Loughlin, Ed., "Special Issue on Time Frequency Analysis," Proceedings of the IEEE, vol. 84, no. 9, 1996.
20. N. Golmie, N. Chevrollier, and O. Rebala, "Bluetooth and WLAN coexistence: challenges and solutions," IEEE Wireless Communications, vol. 10, no. 6, pp. 22-29, 2003.
21. B. Boashash and P. Black, "An efficient real-time implementation of the Wigner-Ville distribution," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 35, no. 11, pp. 1611-1618, 1987.
22. G. S. Cunningham and W. J. Williams, "Fast implementations of generalized discrete time-frequency distributions," IEEE Trans. Signal Processing, vol. 42, no. 6, pp. 1496-1508, 1994.
23. I. Gertner and M. Shamash, "VLSI structures for computing the Wigner distribution," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP '88), vol. 4, pp. 2132-2135, New York, NY, USA, April 1988.
24. A. K. Ozdemir and O. Arikan, "Fast computation of the ambiguity function and the Wigner distribution on arbitrary line segments," IEEE Trans. Signal Processing, vol. 49, no. 2, pp. 381-393, 2001.
25. H. M. Ozaktas, O. Arikan, M. A. Kutay, and G. Bozdagt, "Digital computation of the fractional Fourier transform," IEEE Trans. Signal Processing, vol. 44, no. 9, pp. 2141-2150, 1996.
26. S. Stankovic and L. Stankovic, "An architecture for the realization of a system for time-frequency signal analysis," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol. 44, no. 7, pp. 600-604, 1997.
27. H.-I. Choi and W. J. Williams, "Improved time-frequency representation of multicomponent signals using exponential kernels," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 37, no. 6, pp. 862-871, 1989.
28. P. J. Loughlin and K. L. Davidson, "Modified Cohen-Lee time-frequency distributions and instantaneous bandwidth of multicomponent signals," IEEE Trans. Signal Processing, vol. 49, no. 6, pp. 1153-1165, 2001.
29. A. J. E. M. Janssen, "On the locus and spread of pseudodensity functions in the time-frequency plane," Philips Journal of Research, vol. 37, no. 3, pp. 79-110, 1982.
30. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations by back-propagation errors," Nature, vol. 323, pp. 533-536, 1986.
31. B. Hassibi and T. Kailath, "Optimal training algorithms and their relation to backpropagation," in Advances in Neural Information Processing Systems (NIPS '94), vol. 7, pp. 191-198, Denver, Colo, USA, November-December 1994.
32. C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
33. A. Kamerman, Coexistence between Bluetooth and IEEE 802.11 CCK Solutions to Avoid Mutual Interference, Lucent Technologies Bell Laboratories, Murray Hill, NJ, USA, January 1999.
34. T. A. Wysocki and H.-J. Zepernick, "Characterization of the indoor radio propagation channel at 2.4 GHz," Journal of Telecommunications and Information Technology, vol. 1, no. 3-4, pp. 84-90, 2000.
35. N. Golmie, R. E. Van Dyck, and A. Soltanian, "Interference of bluetooth and IEEE 802.11: simulation modeling and performance evaluation, " in Proc. 4th International ACM Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Rome, Italy, July 2001.