Neural network surface acoustic wave RF signal processor for digital modulation recognition

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Volumn 49, Issue 9, 2002, Pages 1280-1290

  Kavalov, Dimitar ^a   Kalinin, Victor ^a  

^a OXFORD BROOKES UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; QUADRATURE AMPLITUDE MODULATION; QUADRATURE PHASE SHIFT KEYING; SIGNAL PROCESSING;

BINARY PHASE SHIFT KEYING; DIGITAL MODULATION; SURFACE ACOUSTIC WAVE PROCESSOR;

ACOUSTIC SURFACE WAVE DEVICES;

EID: 0036760939     PISSN: 08853010     EISSN: None     Source Type: Journal    
DOI: 10.1109/TUFFC.2002.1041545     Document Type: Article

References (28)

1. E., Azzouz and A. Nandi, Automatic Modulation Recognition of Communication Signals, London: Kluwer Academic, 1996, ch. 1, pp. 7-8.
2. J. Aisbett, "Automatic modulation recognition using time domain parameters," Signal Process., vol. 13, pp. 323-328, Oct. 1994.
3. Y. T. Chan, and L. G. Gadbois, "Identification of the modulation type of a signal." Signal Process., vol. 16. pp. 149-154. Feb. 1989.
4. Y. O. Al-jalili, "Identification algorithm for upper sideband and lower sideband SSB signals," Signal Process., vol. 42. pp. 207-213. Mar. 1995.
5. S. Z. Hsue and S. S. Soliman, "Automatic modulation recognition of digitally modulated signals," in IEEE MILCOM Conf. Proc., 1989, pp. 645-649.
6. F. F. Leidke, "Computer simulation of an automatic classification procedure for digitally modulated classification signals with unknown parameters," Signal Process., vol. 6. pp 311-323. Aug. 1984.
7. K. Alssaleh, K. Farrell, and R. J. Mammone, "A new method of modulation classification for digitally modulated signals," in MELCOM Commun., Fusing, Command. Contr. Intelligence, Oct. 1992, pp. 30.5.1-30.5.5.
8. F. Jondral, "Automatic classification of high frequency signals," Signal Process., vol. 9 pp. 177-190. Oct. 1985.
9. A. Polydoros and K. Kim, "On the detection and classification of quadrature digital modulations in broadband noise," IEEE Trans. Commun., vol. 38. pp. 1199-1211. Aug. 1990.
10. B. F. Beidas and C. L. Weber, "Higher-order correlation-based approach to modulation classification on digitally modulated signals," IEEE J. Select. Areas Commun., vol. 13. pp. 89-101. Jan. 1995.
11. C. Y. Huang and A. Polydoros, "Likelihood method of MPSK modulation classification," IEEE Trans. Commun., vol. 43, pp. 1493-1504, Mar. 1995.
12. L. V. Dominguez, J. M. Borallo, and J. P. Garcia, "A general approach to the automatic classification of radio communication signals," Signal Process., vol. 22. pp. 239-250. Mar. 1991.
13. C. Louis and P. Sehier, "Automatic modulation recognition with a hierarchical neural network." in IEEE MILCOM Conf. Record. pp. 713-717. Oct. 1994.
14. P. C. J. Hill and G. R. Orzeszko, "Performance comparison of neural network and statistical discriminant processing techniques for automatic modulation recognition," in Proc. SPIE - Applications of Artificial Neural Networks II, vol. 1469. Apr. 1991. pp. 329-340.
15. C. S. Kremer and J. Shiels, "A testbench for automatic modulation recognition using artificial neural network," in Proc. CCECE IEEE Canadian Conf. Elect. Compu. Eng., May 1997. 67-70.
16. D. P. Morgan, "A history of surface acoustic wave devices," Int. J. High Speed Electron. Syst., vol. 10. no. 3. pp. 553-602. 2000.
17. C. M. Bishop, Neural Networks for Pattern Recognition. Oxford: Clarendon Press, 1995, pp. 7-9.
18. A. J. Maren and T. Craig, Handbook of Neural Computing Applications, London: Academic Press, 1990. ch. 18, 20, pp. 295-300. 319-332.
19. D. Kavalov and V. Kalinin, "Neural network processor based on SAW devices for digital modulation recognition," in Proc. 8th Int. Conf. HF Radio Syst. Techniques, July 2000, pp. 95-99.
20. M. C. Mozer, "Neural net architectures for temporal sequential processing," in Time Series Prediction: Forecasting the Feature and Understanding the Past. Reading, MA: Addison-Wesley, 1994, pp. 243-264.
21. C. K. Campbell, Surface Acoustic Wave Devices for Mobile and Wireless Communications. New York: Academic, 1998. pp. 113-119.
22. S. Haykin, Communication Systems. New York: Wiley 1994, pp. 94-95.
23. M. T. Hagan and M. Menhay. "Training feedforward networks with Marquardt algorithms," IEEE Trans. Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
24. D. P. Morgan, Surface-Wave Devices for Signal Processing. Amsterdam: Elsevier, 1985, pp. 61-64.
25. L. L. Sharf, Statistical Signal Processing Detection, Estimation, and Time Series Analysis. Reading, MA: Addison-Wesley, 1990, pp. 4-5.
26. L. Holmstrom and P. Koistinen, "Using additive noise in back-propagation training," IEEE Trans. Neural Networks. vol. 3, pp. 24-38, Jan. 1992.
27. D. Kavalov and V. Kalinin, "Improved noise characteristics of a SAW artificial neural network RF signal processor for modulation recognition," presented at 2001 IEEE International Ultrasonics Symposium, Atlanta, GA, Oct. 7-10, 2001.
28. R. F. Milson, M. Redwood, and N. H. C. Reilly, "The interdigital transducer," in Surface Wave Filters Design, Construction and Use. H. Mathews, Ed. New York: Wiley, 1977, pp. 76-90.