DocumentCode :
2607333
Title :
Estimating the number of signals observed by multiple sensors
Author :
Chiani, Marco ; Win, Moe Z.
Author_Institution :
WiLab/DEIS, Univ. of Bologna, Bologna, Italy
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
156
Lastpage :
161
Abstract :
Inferring the presence of signal sources plays an important role in statistical signal processing and wireless communications networks. In particular, knowing the number of signal sources embedded in noise is of great interest in cognitive radio. We propose a new algorithm for estimating the number of dominant sources observed by multiple sensors in the presence of multipath and corrupted by additive Gaussian noise. Our method is based on the exact distribution of the eigenvalues of the sample covariance matrix for multivariate Gaussian variables. Numerical results show that the new method has excellent performance, and is particularly important for situations with small sample size.
Keywords :
AWGN; cognitive radio; eigenvalues and eigenfunctions; signal detection; wireless sensor networks; additive Gaussian noise; cognitive radio; covariance matrix; eigenvalues; multivariate Gaussian variable; signal estimation; statistical signal processing; wireless communication network; Covariance matrix; Eigenvalues and eigenfunctions; Error probability; Joints; Maximum likelihood estimation; Receiving antennas; Cognitive radio; Wishart distribution; model selection; signal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location :
Elba
Print_ISBN :
978-1-4244-6457-9
Type :
conf
DOI :
10.1109/CIP.2010.5604227
Filename :
5604227
Link To Document :
بازگشت