Minimum variance space-time CDMA receiver algorithms based on URV decomposition

Munhyung Cho; Joohwan Chun; Soohong Kim

doi:10.1117/12.448669

20 November 2001 Minimum variance space-time CDMA receiver algorithms based on URV decomposition

Munhyung Cho, Joohwan Chun, Soohong Kim

Author Affiliations +

Proceedings Volume 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI; (2001) https://doi.org/10.1117/12.448669
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

A minimum variance space-time (MVST) receiver with an antenna array has recently been proposed as a relatively simple method for designing blind multiuser receivers for code division multiple access (CDMA) systems. For time-varying CDMA systems, it is necessary to update the response vector, which is used to construct the receiver algorithm, of the MV receiver for each symbol interval. In this paper, we propose a new MVST receiver whose the response vector is updated based on the rank-revealing URV-decomposition rather than the eigen decomposition or singular value decomposition (SVD) used in previous MVST receivers. We demonstrate its performance through simulation in varying the number of multipaths and the Rayleigh fading parameters. It is found that the URV-decomposition based MVST receiver is effective for the time-varying CDMA signal, and achieves considerable computational savings.

Citation Download Citation

Munhyung Cho, Joohwan Chun, and Soohong Kim "Minimum variance space-time CDMA receiver algorithms based on URV decomposition", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448669

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE