Title :
Blind Channel Estimation for MIMO Uplink MC-CDMA Systems with Layered Space Frequency Equalisation
Author :
Punnoose, Sonu ; Zhu, Xu ; Nandi, Asoke K.
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ.
Abstract :
In this paper, we investigate blind channel estimation for multiple input multiple output (MIMO) multi-carrier CDMA (MC-CDMA) systems in the uplink scenario. An autocorrelation contribution matrix (ACM) method is proposed in comparison with the subspace approach. Using only second order statistics, the ACM approach shows similar performance to that of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation as in subspace technique. In particular we incorporate blind channel estimation with layered space frequency equalisation (LSFE),which employs successive interference cancellation and therefore provides significant performance improvement over the conventional linear minimum mean square error (MMSE) based approach
Keywords :
MIMO communication; channel estimation; code division multiple access; equalisers; interference suppression; matrix algebra; radio links; radiofrequency interference; statistical analysis; MC-CDMA systems; MIMO uplink; autocorrelation contribution matrix; blind channel estimation; layered space frequency equalisation; multicarrier CDMA; multiple input multiple output; second order statistics; subspace technique; successive interference cancellation; Autocorrelation; Blind equalizers; Frequency estimation; Interference cancellation; MIMO; Mean square error methods; Multiaccess communication; Multicarrier code division multiple access; Noise cancellation; Statistics;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
DOI :
10.1109/WiCOM.2006.12