Title :
Recurrent neural network array for CDMA mobile communication systems
Author :
Benson, Michael ; Carrasco, R.A.
Author_Institution :
Sch. of Eng., Staffordshire Univ., Stafford
fDate :
12/4/1997 12:00:00 AM
Abstract :
The application of a recurrent neural network structure to adaptive antenna arrays in a CDMA system is presented. This novel approach enables space and time diversity combining of the signals, and is evaluated over multipath fading channels. Computer simulation results show that the recurrent structure performs better and has a lower computational complexity than the RLS-based adaptive array
Keywords :
code division multiple access; CDMA mobile communication system; adaptive antenna array; computational complexity; computer simulation; multipath fading channel; recurrent neural network; signal processing; space diversity; time diversity;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19971451
