SMC-based blind detection for DS-CDMA systems over multipath fading channels

Author

Yu, Qian ; Bi, Guoan ; Wan, Chunru

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

54

Issue

6

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

971

Lastpage

974

Abstract

This letter derives a computationally efficient sequential Monte Carlo solution for blind detection of direct-sequence code-division multiple-access systems over multipath fading channels by decomposing the observed data into a number of signal components. Then the parameters of each component can be estimated by the sequential importance sampling and Kalman filtering. In comparison with other similar receivers, simulation results demonstrate that the proposed solution achieves the desirable performance with a significantly reduced computational complexity

Keywords

Kalman filters; code division multiple access; computational complexity; fading channels; filtering theory; importance sampling; matrix algebra; multipath channels; spread spectrum communication; DS-CDMA systems; Kalman filtering; blind detection; computational complexity; direct-sequence code-division multiple-access systems; multipath fading channels; sequential Monte Carlo; sequential importance sampling; Computational complexity; Computational modeling; Fading; Filtering; Kalman filters; Maximum likelihood estimation; Monte Carlo methods; Multiaccess communication; Signal processing; Sliding mode control; Code-division multiple access (CDMA); Kalman filtering; expectation-maximization (EM); multipath fading; sequential Monte Carlo (SMC); sequential importance sampling;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2006.876830

Filename

1643524