Novel identification of intercepted signals from unknown radio transmitters

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2491, Issue , 1995, Pages 504-517

  Choe, Howard C ^a,e   Poole, Clark E ^b   Yu, Andrea M ^c   Szu, Harold H ^d  

^a BATTELLE MEMORIAL INSTITUTE   (United States)

^b FEDERAL COMMUNICATIONS COMMISSION   (United States)

^c SYRACUSE RESEARCH CORPORATION   (United States)

^d NAVAL SURFACE WARFARE CENTER   (United States)

^e SWI Technologies ^*  (United States)

Author keywords

Emitter classification and identification; Multiresolution analysis; Transient signal; Wavelet

Indexed keywords

MULTIRESOLUTION ANALYSIS; NEURAL NETWORKS; RADIO TRANSMISSION; SIGNAL PROCESSING; WAVELET DECOMPOSITION; ADAPTIVE SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); RESOLVING POWER; TRANSMITTERS; WAVELET TRANSFORMS;

CLASSIFICATION AND IDENTIFICATIONS; EMITTER CLASSIFICATION; MULTI-RESOLUTION FEATURE; RADIO FREQUENCY TRANSMITTERS; SIGNAL CHARACTERIZATION; TRANSIENT SIGNAL; WAVELET; WAVELET PRE-PROCESSING; ARTIFICIAL NEURAL NETWORKS; FEATURE EXTRACTION; SIGNAL CLASSIFICATION;

RADIO TRANSMITTERS; SIGNAL PROCESSING;

EID: 0029462943     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.205415     Document Type: Conference Paper

References (14)

1. A. Kundu, G. Chen, and C. E. Persons, "Transient sonar signal classification using hidden Markov models and neural nets", IEEE Journal of Oceanic Engineering, 19, No. 1, pp. 87-99, January 1994.
2. R. Loe, K. Jung, K. Anderson, A. Abatzoglou, J. Regan, and H. Arnold, "Status report on wavelets in signal detection and identification: comparative processing and technology evaluation", IEEE.
3. R. A. Carmona, "Wavelet identification of transients in noisy time series", Mathematical Imaging, A. F. Laine (ed.), Vol. 2034, pp. 392-400, SPIE, Bellingham, 1993.
4. I. Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 1992.
5. Y. Meyer, Wavelets: Algorithms & Applications, SIAM, Philadelphia, 1993.
6. C. K. Chui, An Introduction to Wavelets, Academic Press, Inc., Boston, 1992.
7. A. N. Akansu and R. A. Haddad, Multiresolution Signal Decomposition, Academic Press, Inc., Boston, 1992.
8. T. I. Boubez and R. L. Peskin, "Multiresolution neural networks", Wavelet Applications, H. H. Szu (ed.). Vol. 2242, pp. 649-660, SPIE, Bellingham, 1994.
9. H. H. Szu, B. A. Telfer, and S. Kadambe, "Neural network adaptive wavelets for signal representation and classification", SPIE Optical Engineering, Vol. 31, No. 9, pp. 1907-1916, 1992.
10. D. Broomhead and D. Lowe, "Multi-variable functional interpolation and adaptive network", Complex Systems, 2, 321, 1988.
11. J. Moody and C. Darken, "Fast learning in networks of locally tuned processing unit", Neural Computation, 1, pp. 281-294, 1989.
12. Z. Guanghui, H. Zailu, and H. Zhengqiang, "Wavelet packets algorithm and its application in signal detection", Mathematical Imaging, A. F. Laine (ed.), Vol. 2034, pp. 426-431, SPIE, Bellingham, 1993.
13. D. Robertson, O. I. Camps, and J. Mayer, "Wavelets and power system transients: feature detection and classification", Wavelet Applications, H. H. Szu (ed.). Vol. 2242, pp. 474-487, SPIE, Bellingham, 1994.
14. H. H. Szu and B. A. Telfer, "Mathematical theorems of adaptive wavelet transforms: relating continuous with discrete transforms", SPIE Optical Engineering, Vol. 33 No. 7, July 1994.