Paper Info
Title
Iterative channel estimation for high mobility broadband MC-CDMA systems
Abstract
In this paper we investigate the performance of a downlink multi-carrier code division multiple access (MC-CDMA) system employing a receiver with iterative channel estimation (ICE). The MC-CDMA system transmits M data symbols per user and per orthogonal frequency division multiplexing symbol in parallel, with each data symbol being spread with a Walsh-Hadamard code of length L. Due to the superposition of spread data signals (chips), zero-valued subcarriers can occur, which cannot be used to compute least-squares (LS) channel estimates in ICE. Therefore, we propose the modified LS channel estimation method to overcome this problem and to avoid noise enhancement in ICE. We further investigate the robustness of ICE with the modified LS method if the channel statistics are not known perfectly. Simulation results demonstrate that a signal-to-noise ratio gain of 1 dB can be achieved when employing robust ICE with the modified LS method.
Year
DOI
Venue
2005
10.1109/ICC.2005.1494715
ICC
Keywords
Field
DocType
hadamard codes,zero-valued subcarrier,data communication,walsh functions,multicarrier code division multiple access,walsh-hadamard code,ofdm modulation,orthogonal frequency division multiplexing,channel coding,least squares approximations,ice,mobile radio,ls,code division multiple access,downlink mc-cdma system,data symbol transmission,high mobility broadband system,least-square channel estimation,iterative decoding,spread data signal,iterative channel estimation,channel estimation,concurrent computing,quantum computing,signal to noise ratio,least square,chip,statistics,downlink,ofdm
Superposition principle,Computer science,Algorithm,Communication channel,Chip,Theoretical computer science,Robustness (computer science),Real-time computing,Code division multiple access,Walsh function,Orthogonal frequency-division multiplexing,Telecommunications link
Conference
Volume
ISSN
ISBN
3
1550-3607
0-7803-8938-7
Citations 
PageRank 
References 
4
0.49
7
Authors
3
Name
Order
Citations
PageRank
Stephan Sand1202.57
Ronald Raulefs219619.66
Gunther Auer3113676.60