DocumentCode :
2841201
Title :
Multiantenna detection of constant-envelope signals in noise of unknown variance
Author :
Romero, Daniel ; Lopez-Valcarce, Roberto
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. de Vigo, Vigo, Spain
fYear :
2011
fDate :
26-29 June 2011
Firstpage :
446
Lastpage :
450
Abstract :
Detection of unknown signals with constant modulus (CM) using multiple antennas in additive white Gaussian noise of unknown variance is considered. The channels from the source to each antenna are assumed frequency-flat and unknown. This problem is of interest for spectrum sensing in cognitive radio systems in which primary signals are known to have the CM property. Examples include analog frequency modulated signals such as those transmitted by wireless microphones in the TV bands and Gaussian Minimum Shift Keying modulated signals as in the GSM cellular standard. The proposed detector, derived from a Generalized Likelihood Ratio (GLR) approach, exploits both the CM property and the spatial independence of noise, outperforming the GLR test for Gaussian signals as shown by simulation.
Keywords :
AWGN; antenna arrays; cellular radio; cognitive radio; minimum shift keying; signal detection; CM; GLR approach; GSM cellular standard; Gaussian minimum shift keying modulated signal; TV band; additive white Gaussian noise; analog frequency modulated signal; cognitive radio system; constant modulus; constant-envelope signal; frequency-flat antenna; generalized likelihood ratio approach; multiantenna detection; noise spatial independence; spectrum sensing; unknown signal detection; unknown variance noise; wireless microphone transmission; Antennas; Cognitive radio; Detectors; Maximum likelihood estimation; Signal to noise ratio; Cognitive radio; constant modulus; detection; spectrum sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2011 IEEE 12th International Workshop on
Conference_Location :
San Francisco, CA
ISSN :
1948-3244
Print_ISBN :
978-1-4244-9333-3
Electronic_ISBN :
1948-3244
Type :
conf
DOI :
10.1109/SPAWC.2011.5990449
Filename :
5990449
Link To Document :
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