Paper Info
Title
A gradient-based joint-detection algorithm for multi-carrier CDMA
Abstract
In this paper, we investigate a gradient based joint detection algorithm for MC-CDMA. The algorithm is based on the improvement of a suboptimum initial estimation, which itself can be obtained from an already known low complexity detection algorithm. For the improvement strategy, the algorithm calculates the gradient of the Euclidean distance function between the rebuilt initially estimated transmission signal and the received signal and goes into the direction of the steepest descent in order to find an improved estimation, which is closer to the received signal. Simulation results show, that for 4-QAM modulation and a spreading length of 8, an error performance close to maximum likelihood detection can be achieved with a complexity which is about 26 times lower.
Year
DOI
Venue
2004
10.1109/GLOCOM.2004.1379102
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Keywords
Field
DocType
code division multiple access,error statistics,gradient methods,parameter estimation,quadrature amplitude modulation,signal detection,spread spectrum communication,4-QAM,Euclidean distance function,MC-CDMA,error performance,estimated transmission signal,gradient-based joint-detection algorithm,maximum likelihood detection,modulation,multi-carrier CDMA,received signal,spreading length,steepest descent,suboptimum initial estimation
Multi carrier,Gradient descent,Quadrature amplitude modulation,Detection theory,Computer science,Algorithm,Modulation,Estimation theory,Code division multiple access,Spread spectrum
Conference
Volume
ISBN
Citations 
6
0-7803-8794-5
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
armin dammann121236.06
Ronald Raulefs219619.66
Gunther Auer3113676.60