Air interface identification for Software Radio systems

AEU - International Journal of Electronics and Communications

Volumn 61, Issue 2, 2007, Pages 104-117

  Öner, Mengüç ^a   Jondral, Friedrich ^b  

^a ISIK UNIVERSITY   (Turkey)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Air interface identification; Cognitive radio; Cyclostationarity; Software Radio

Indexed keywords

COMPUTER SOFTWARE; FREQUENCY AGILITY; INTERFACES (COMPUTER); INTEROPERABILITY; MOBILE TELECOMMUNICATION SYSTEMS;

AIR INTERFACE IDENTIFICATION; COGNITIVE RADIO; SOFTWARE RADIO SYSTEMS;

RADIO SYSTEMS;

EID: 33846031425     PISSN: 14348411     EISSN: 16180399     Source Type: Journal    
DOI: 10.1016/j.aeue.2006.03.005     Document Type: Article

References (19)

1. Mitola J. The Software Radio Architecture. IEEE Commun Mag 33 (1995) 26-38
2. Mitola J. Cognitive Radio, an integrated agent architecture for software defined radio. Dissertation, Stockholm, Department of Teleinformatics, Royal Institute of Stockholm; 2000.
3. Öner M. Air interface identification for software radio systems. Dissertation, Karlsruhe, Institut für Nachrichtentechnik, Universitaet Karlsruhe (TH); 2004.
4. Raps F, Kölmann K, Zeidler H. HF band emitter detection and segmentation based on image processing. IEEE Military communications conference, Milcom 2001; 2001. p. 131-5.
5. Huang C., and Polydoros A. Likelihood methods for MPSK modulation classification. IEEE Trans Comm 43 (1995) 1493-1504
6. Lin Y, Kuo C. Modulation classification using wavelet transform. SPIE; 1995: 492-503.
7. Schreyögg C. Modulation classification of QAM schemes using the DFT of phase histogram combined with modulus information. IEEE Military communications conference, Milcom 97, 1997. p. 1372-6.
8. Ho K, Prokopiw W, Chan Y. Modulation identification by the wavelet transform. IEEE Military communications conference MILCOM 95; 1995. p. 886-90.
9. Liedtke F. Benutzung von Histogrammen zur Signalklassifikation, 4tes Aachener Kolloquium Theorie und Anwendung der Signalverarbeitung, Aachen; 1981. p. 269-72.
10. Azzouz E., and Nandi A. Automatic identification of digital modulation types. Signal Process 47 (1995) 55-69
11. Gardner W. Statistical spectral analysis: a nonprobabilistic theory (1987), Prentice Hall, NJ
12. Gardner W. Cyclostationarity in communications and signal processing (1994), IEEE Press, NJ
13. Wiesler A. Parametergesteuertes Software Radio für mobilfunksysteme (2001), Universität Karlsruhe (TH), Dissertation. Karlsruhe
14. Jung P. Laurent's representation of binary digital continuous phase modulated signals with modulation index 1/2 revisited. IEEE Trans Commun 42 (1994) 221-224
15. Machauer R. Multicode detektion im UMTS. Dissertation, Karlsruhe, Universität Karlsruhe (TH); 2002.
16. Dandawate A., and Giannakis G. Statistical tests for presence of cyclostationarity. IEEE Trans Signal Process 42 (1994) 2355-2369
17. Commission of EC: COST 207. digital land mobile radio communication; 1988.
18. ITU: UMTS 30.03 Annex B: test environments and deployment models. R 101 1112 v.3.2.0; 1998.
19. Öner M, Jondral F. Cyclostationary based methods for the extraction of the channel allocation information in a spectrum pooling system. IEEE radio and wireless conference RAWCON 2004, Atlanta; 2004.