Title : ( DS-CDMA Blind Detection for Frequency-Selective Multipath Channels by Neural Networks )
Authors: Majid Shakhsi Dastgahian , Hossein Khoshbin Ghomash , saeed shaerbaf , Seyed Alireza Seyedin ,
Full TextAbstract
Up to now, various detection algorithms have been offered and investigated for DS-CDMA systems in multipath conditions. Here, We intend to implement suboptimum receivers based on Maximum-Ratio-Combining (MRC) via neural network structures in Downlink systems. We will demonstrate that our design based on Radial Base function (RBF) and Multi Layer Perceptron (MLP) outperform in comparison of conventional detectors such as Match-Filter, Decorrelator Detector (DD) and MMSE manner. We also propose a new method when receiver doesn’t know sequence code in CDMA receiver system and illustrate that RBF is proper when number of users are low and MLP is prefer where the number of users increased.
Keywords
, multipath channel; neural networks; DS, CDMA;Blind detection; RAKE receiver
@inproceedings{paperid:1024121,
author = {Shakhsi Dastgahian, Majid and Khoshbin Ghomash, Hossein and Shaerbaf, Saeed and Seyedin, Seyed Alireza},
title = {DS-CDMA Blind Detection for Frequency-Selective Multipath Channels by Neural Networks},
booktitle = {2010 5th International Symposium on Telecommunications (IST2010)},
year = {2010},
location = {تهران, IRAN},
keywords = {multipath channel; neural networks; DS-CDMA;Blind detection; RAKE receiver},
}
%0 Conference Proceedings
%T DS-CDMA Blind Detection for Frequency-Selective Multipath Channels by Neural Networks
%A Shakhsi Dastgahian, Majid
%A Khoshbin Ghomash, Hossein
%A Shaerbaf, Saeed
%A Seyedin, Seyed Alireza
%J 2010 5th International Symposium on Telecommunications (IST2010)
%D 2010
