DocumentCode
1393350
Title
Linear prediction approach for joint blind equalization and blind multiuser detection in CDMA systems
Author
Fan, H.Howard ; Li, Xiaohua
Author_Institution
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Volume
48
Issue
11
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
3134
Lastpage
3145
Abstract
For high-speed code division multiple access (CDMA) systems, interchip interference that is caused by multipath propagation becomes severe and cannot be ignored. Together with the multiple access interference due to nonideal conditions in CDMA, they become major obstacles to overall system performance. In this paper, both batch and adaptive algorithms based on linear prediction are proposed for joint blind equalization and multiuser detection for asynchronous CDMA systems. It is shown that the new methods are insensitive to estimation error of propagation delay or chip timing. In addition, the adaptive algorithm is computationally efficient. Simulation results show that the proposed methods are also near-far resistant and compare favorably to many existing methods
Keywords
adaptive equalisers; adaptive signal detection; blind equalisers; code division multiple access; intersymbol interference; multipath channels; prediction theory; radio receivers; radiofrequency interference; CDMA systems; adaptive algorithm; adaptive algorithms; batch algorithms; blind equalization; blind multiuser detection; chip timing; code division multiple access; estimation error; interchip interference; linear prediction; linear prediction approach; multipath propagation; multiple access interference; near-far resistant methods; propagation delay; system performance; Adaptive algorithm; Adaptive equalizers; Blind equalizers; Estimation error; Multiaccess communication; Multiple access interference; Multiuser detection; Propagation delay; System performance; Timing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.875470
Filename
875470
Link To Document