Em-Based Joint Data Detection and Channel Estimation for Uplink Mc-Cdma Systems Over Frequency Selective Channels;
No Thumbnail Available
Date
2007
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper is concerned with joint channel estimation and data detection for uplink multicarrier code-division multipleaccess (MC-CDMA) systems in the presence of frequency fading channel. The detection and estimation algorithm, implemented at the receiver, is based on a version of the expectation maximization (EM) technique which is very suitable for the multicarrier signal formats. Application of the EM-based algorithm to the problem of iterative data detection and channel estimation leads to a receiver structure that also incorporates a partial interference cancelation. Computer simulations show that the proposed algorithm has excellent BER end estimation performance.
Description
Keywords
[No Keyword Available], Signal processing, Iterative methods, Signal receivers, Detection and estimation, Channel estimation, Fading channels, Estimation performance, Receiver structures, Adaptive systems, Data-detection, Computational methods, Frequency fading, MC-CDMA, Multi-carrier signals, Multicarrier modulation, Semiconductor counters, Expectation-Maximization, Computer simulation, Fading (radio), Frequency selective channels, Code division multiple access, Uplink MC-CDMA, Joint channel estimation, N/A, Multi-carrier code, Frequency estimation, Estimation, Computer simulations
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
1
Source
2007 IEEE 15th Signal Processing and Communications Applications, SIU -- 2007 IEEE 15th Signal Processing and Communications Applications, SIU -- 11 June 2007 through 13 June 2007 -- Eskisehir -- 73089
Volume
Issue
Start Page
1
End Page
4
Collections
PlumX Metrics
Citations
Scopus : 0
Captures
Mendeley Readers : 1
Page Views
5
checked on Feb 01, 2026
Google Scholar™


