DocumentCode :
1658535
Title :
Performance analysis of some eigen-based hypothesis tests for collaborative sensing
Author :
Bianchi, Pascal ; Najim, Jamal ; Maida, Mylène ; Debbah, Mérouane
Author_Institution :
CNRS, LTCI Telecom Paristech, Paris, France
fYear :
2009
Firstpage :
5
Lastpage :
8
Abstract :
In this contribution, we provide a theoretical study of two hypothesis tests allowing to detect the presence of an unknown transmitter using several sensors. Both tests are based on the analysis of the eigenvalues of the sampled covariance matrix of the received signal. The generalized likelihood ratio test (GLRT) derived is analyzed under the assumption that both the number K of sensors and the length N of the observation window tend to infinity at the same rate: K/N rarr c isin (0, 1). The GLRT is compared with a test based on the condition number used which is used in cognitive radio applications. Using results of random matrix theory for spiked models and tools of large deviations, we provide the error exponent curve associated with both test and prove that the GLRT outperforms the test based on the condition number.
Keywords :
cognitive radio; covariance matrices; eigenvalues and eigenfunctions; cognitive radio applications; collaborative sensing; covariance matrix; eigen-based hypothesis tests; error exponent curve; generalized likelihood ratio test; observation window length; random matrix theory; sensor number; Collaboration; Covariance matrix; Eigenvalues and eigenfunctions; H infinity control; Noise cancellation; Performance analysis; Radio transmitters; Signal analysis; Telecommunications; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
Type :
conf
DOI :
10.1109/SSP.2009.5278654
Filename :
5278654
Link To Document :
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