Separation of digital communication signals through joint space-time decorrelation

Author

Sala-Alvarez, J. ; Vázquez-Grau, G.

Author_Institution

Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain

Volume

iv

fYear

1994

fDate

19-22 Apr 1994

Abstract

In this paper we derive the optimum linear algorithm for the separation by an array of a given number of cyclostationary signals of the type encountered in digital communications. Spatially and temporally uncorrelated noise is considered at the input to each sensor. It is proved that the optimum signal separator can be expressed as a matrix transfer function in the z-domain. It is intended that this algorithm be used as a benchmark to test the performance of adaptive schemes. Therefore, bounds on the noise estimation covariance are obtained assuming perfect knowledge of the number of sources as well as of their timing and DOA

Keywords

adaptive signal processing; array signal processing; covariance analysis; digital communication; digital signals; noise; transfer function matrices; DOA; adaptive schemes performance; array; benchmark; cyclostationary signals; digital communication signals separation; joint space-time decorrelation; matrix transfer function; noise estimation covariance; optimum linear algorithm; spatially uncorrelated noise; temporally uncorrelated noise; timing; z-domain; AWGN; Decorrelation; Delay; Digital communication; Interference; Matched filters; Multiaccess communication; Performance analysis; Pulse modulation; Random sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389850

Filename

389850