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
fDate :
3/1/1998 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
