DocumentCode :
2673027
Title :
Low-complexity channel estimation for beyond 3G systems
Author :
Marques, P. ; Gameiro, A.
Author_Institution :
Instituto de Telecommunicacoes, Aveiro Univ., Portugal
Volume :
3
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
2148
Abstract :
A robust minimum mean squared error (MMSE) channel estimation algorithm that does not rely on a priori knowledge of the channel statistics gives good results with MC-CDMA systems. The robust MMSE estimator takes advantages of the correlation between all Np pilot-subcarriers and requires one Np×Np matrix inversion for each pilot symbol of the burst structure. This complexity can be large depending on the number of pilot subcarriers in the system. The paper presents and analyses two low-complexity suboptimal approximations of the robust MMSE channel estimator. A complexity versus performance degradation comparison is done. The performance is presented in terms of mean square error for a 1024 tone MC-CDMA system over ETSI BRAN mobile channel models.
Keywords :
3G mobile communication; 4G mobile communication; broadband networks; channel estimation; code division multiple access; computational complexity; least mean squares methods; matrix inversion; radio access networks; ETSI BRAN mobile channel models; MC-CDMA; MMSE channel estimation algorithm; beyond 3G systems; broadband radio access network; matrix inversion; mean square error; minimum mean squared error channel estimation algorithm; pilot-subcarriers; suboptimal approximations; Algorithm design and analysis; Bandwidth; Channel estimation; Frequency domain analysis; Intersymbol interference; Multicarrier code division multiple access; Robustness; Statistics; Telecommunications; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400420
Filename :
1400420
Link To Document :
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