Resolution limits of blind multi-user multi-channel identification schemes-the bandlimited case

Author

Van der Veen, Alle-Jan

Author_Institution

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

Volume

5

fYear

1996

fDate

7-10 May 1996

Firstpage

2722

Abstract

Blind space-time equalization and separation of multi-user digital communication signals presumes that the number of antennas M and the oversampling rate P is sufficiently large to be able to detect the number of sources and all channel lengths, and that the channel matrix is sufficiently well conditioned to allow inversion. A singular value analysis of the channel matrix for bandwidth limited signals provides necessary conditions for sufficient resolution, and guidelines for the selection of suitable M, P and equalizer lengths in relation to the bandwidth

Keywords

array signal processing; digital communication; equalisers; identification; land mobile radio; matrix inversion; multi-access systems; signal resolution; signal sampling; singular value decomposition; telecommunication channels; antenna; bandlimited case; bandwidth limited signals; blind multi-user multi-channel identification; blind space-time equalization; channel lengths; channel matrix; equalizer length; inversion; multi-user digital communication signals; oversampling rate; resolution limits; separation; singular value analysis; Bandwidth; Computer aided software engineering; Data models; Equalizers; Finite impulse response filter; Propagation delay; Sampling methods; Sensor arrays; Signal processing; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.550115

Filename

550115