Analytical method for blind binary signal separation

Author

Van der Veen, Alle-Jan

Author_Institution

Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands

Volume

45

Issue

4

fYear

1997

fDate

4/1/1997 12:00:00 AM

Firstpage

1078

Lastpage

1082

Abstract

The blind separation of multiple co-channel binary digital signals using an antenna array involves finding a factorization of a data matrix X into X=AS, where all entries of S are +1 or -1. It is shown that this problem can be solved exactly and noniteratively, via a certain generalized eigenvalue decomposition. As indicated by simulations, the algorithm is robust in the presence of noise. An interesting implication is that certain cluster segmentation problems can be solved using eigenvalue techniques

Keywords

array signal processing; digital signals; direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; noise; algorithm; analytical method; antenna array; blind binary signal separation; cluster segmentation problems; data matrix; eigenvalue techniques; factorization; generalized eigenvalue decomposition; multiple cochannel binary digital signals; noise; simulations; Antenna arrays; Blind equalizers; Blind source separation; Clustering algorithms; Delay; Eigenvalues and eigenfunctions; Receiving antennas; Signal analysis; Signal processing algorithms; Source separation;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.564198

Filename

564198