Title :
A numerical solution for multichannel detection
Author :
Oya, Antonia ; Navarro-Moreno, Jesús ; Ruiz-Molina, Juan C.
Author_Institution :
Dept. of Stat. & Oper. Res., Univ. of Jaen, Jaen
fDate :
6/1/2009 12:00:00 AM
Abstract :
A numerical approach to the vector signal detection problem is proposed by using an approximate series representation for vector complex-valued random processes. This technique allows us to provide computationally feasible suboptimum receivers for the problem of detecting an improper or proper complex signal in additive white noise. Its implementation requires the knowledge of the correlation matrix of the vector process involved. The performance of the technique devised is assessed by some communication examples.
Keywords :
AWGN; correlation theory; matrix algebra; signal detection; signal representation; additive white noise; approximate series representation; correlation matrix; multichannel detection; numerical solution; suboptimum receivers; vector complex-valued random processes; vector signal detection problem; AWGN; Additive white noise; Communications Society; Covariance matrix; Eigenvalues and eigenfunctions; Integral equations; Random processes; Random variables; Signal detection; Statistics; Multichannel detection, Rayleigh-Ritz method, series expansion, vector complex random signal.;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.06.070456
