Title :
Multiantenna GLR detection of a Gaussian signal in spatially uncorrelated noise
Author_Institution :
Dept. of Signal Theor. & Commun., Tech. Univ. of Catalonia (UPC), Barcelona, Spain
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
The exact all-SNR Generalized Log-likelihood Ratio Test (GLRT) of a Gaussian rank-one signal impinging on an M-antenna receiver in unknown spatially uncorrelated white noise is derived and compared with some previous low-SNR approximations to this problem. It is confirmed that the coherence matrix used in the mentioned approximations is a sufficient statistic for the GLRT over the complete SNR range. In contrast, this exact, albeit more complex test, requires the unconstrained optimization of a highly nonlinear M-variate complex function which can be addressed using classical optimization techniques. A maximum eigenvalue problem combined with a univariate optimization problem serves the purpose of initialization. Results validate the yet unproven close to optimum performance of previous detectors under the rank-one signal model for the tested SNR´s.
Keywords :
coherence; eigenvalues and eigenfunctions; matrix algebra; optimisation; receiving antennas; signal detection; white noise; Gaussian rank-one signal impinging; Gaussian signal; M-antenna receiver; SNR approximations; coherence matrix; eigenvalue problem; generalized log-likelihood ratio test; multiantenna GLR detection; nonlinear M-variate complex function; spatially uncorrelated noise; unconstrained optimization; univariate optimization problem; white noise; Antennas; Detectors; Equations; Mathematical model; Optimization; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona