DocumentCode
3411740
Title
Modulation forensics for wireless digital communications
Author
Lin, W.S. ; Liu, K.J.R.
Author_Institution
ECE Dept., Univ. of Maryland, College Park, MD, USA
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
1789
Lastpage
1792
Abstract
Modulation forensics is to detect the modulation type in wireless communications without any prior information. It finds both military and civilian applications such as surveillance and cognitive radio. It is a challenging task, especially in a non-cooperative environment, as no prior information on the incoming signal is available at the receiver. In this paper, we investigate the modulation forensics of linear digital modulations and space-time orthogonal code in slowly varying frequency-selective fading channels. With unknown channel vector, and phase distortion at the receive-side, we derive a composite test consisting second-moment nonlinearity and maximum likelihood test, and discuss the performance and forensic system confidence measure. It is shown that the proposed algorithm achieves almost perfect identification of the space-time coding, and high accuracy rate of modulation type detection.
Keywords
MIMO communication; digital radio; fading channels; maximum likelihood estimation; modulation; space-time codes; SISO/MIMO modulation forensic detector; civilian applications; cognitive radio; forensic system confidence measure; linear digital modulation; maximum likelihood test; military applications; modulation forensics; modulation type detection; noncooperative environment; phase distortion; second-moment nonlinearity; slowly varying frequency-selective fading channels; space-time coding; space-time orthogonal code; surveillance; unknown channel vector; wireless communication; wireless digital communications; Chirp modulation; Cognitive radio; Digital communication; Digital modulation; Forensics; Modulation coding; Receivers; Surveillance; System testing; Wireless communication; Modulation forensics; security;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Type
conf
DOI
10.1109/ICASSP.2008.4517978
Filename
4517978
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