Analytical method for blind binary signal separation

Author

Jan van der Veen, A.

Author_Institution

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

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

399

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 non-iteratively, 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 decomposition; noise; phase shift keying; BPSK; algorithm; analytical method; antenna array; blind binary signal separation; cluster segmentation problems; data matrix factorization; eigenvalue techniques; exact solution; generalized eigenvalue decomposition; multiple cochannel binary digital signals; noise; noniterative solution; simulations; wireless communication; Antenna arrays; Blind equalizers; Data engineering; Delay; Eigenvalues and eigenfunctions; Matrix decomposition; Pulse modulation; Receiving antennas; Signal analysis; Source separation;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628124

Filename

628124