DocumentCode
1349749
Title
A compact neural-network-based CDMA receiver
Author
Chen, David C. ; Sheu, Bing J.
Author_Institution
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Volume
45
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
384
Lastpage
387
Abstract
A compact neural-network receiver for code-division multiple-access (CDMA) communication is presented. In the CDMA scheme, the near-far problem is a major impediment for the performance of a conventional detector (CD). By using a compact neural network with hardware annealing function and gradient-descent optimization technique, an optimal multiuser receiver can be implemented. The algorithm and simulation results of the compact neural-network-based CDMA receiver are described
Keywords
code division multiple access; neural nets; optimisation; receivers; spread spectrum communication; code-division multiple-access; gradient-descent optimization technique; hardware annealing function; near-far problem; neural-network receiver; optimal multiuser receiver; Annealing; Circuits; Detectors; Matched filters; Mobile communication; Multiaccess communication; Neural network hardware; Neural networks; Radio spectrum management; Spread spectrum communication;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.664245
Filename
664245
Link To Document