TY - JOUR
T1 - Adaptive multiuser detection based on RBF networks in impulsive noise CDMA channels
AU - Sohn, Insoo
AU - Gupta, Someshwar C.
PY - 1999
Y1 - 1999
N2 - With increasing need for capacity in mobile cellular communications, code division multiple access has been viewed as the technique to meet this goal. However, the conventional receiver suffers from multiuser interference and the near-far effect. To alleviate this problem, various multiuser receivers have been proposed. They have been shown to enhance the performance of the conventional receiver with respect to capacity and interference rejection. But these receivers, intended for Gaussian noise channels, can fail in other environments such as impulsive noise conditions. A possible solution is to exploit the advantages of neural networks. A neural network's ability to reject non-Gaussian noise can be utilized to implement multiuser receivers that reject both impulsive noise and multiuser interference. Following this logic, this paper considers nonadaptive multiuser receiver and adaptive multiuser receiver based on radial basis function neural networks. Simulations of these receivers show results that are superior to previously studied multiuser receivers, with respect to practicality and performance.
AB - With increasing need for capacity in mobile cellular communications, code division multiple access has been viewed as the technique to meet this goal. However, the conventional receiver suffers from multiuser interference and the near-far effect. To alleviate this problem, various multiuser receivers have been proposed. They have been shown to enhance the performance of the conventional receiver with respect to capacity and interference rejection. But these receivers, intended for Gaussian noise channels, can fail in other environments such as impulsive noise conditions. A possible solution is to exploit the advantages of neural networks. A neural network's ability to reject non-Gaussian noise can be utilized to implement multiuser receivers that reject both impulsive noise and multiuser interference. Following this logic, this paper considers nonadaptive multiuser receiver and adaptive multiuser receiver based on radial basis function neural networks. Simulations of these receivers show results that are superior to previously studied multiuser receivers, with respect to practicality and performance.
UR - http://www.scopus.com/inward/record.url?scp=0033350771&partnerID=8YFLogxK
U2 - 10.1023/A:1018883317350
DO - 10.1023/A:1018883317350
M3 - Article
AN - SCOPUS:0033350771
SN - 1068-9605
VL - 6
SP - 59
EP - 66
JO - International Journal of Wireless Information Networks
JF - International Journal of Wireless Information Networks
IS - 2
ER -