Title :
Reduced search space scheme for detection of spatial division multiplexing
Author :
Yu, Heejung ; Jeon, Taehyun ; Lee, Sok-Kyu
Author_Institution :
ETRI, Daejeon, South Korea
fDate :
30 May-1 June 2005
Abstract :
We introduce a suboptimal detection scheme for spatial division multiplexing (SDM) using multiple transmit and receive antennas. As a conventional detection method, zero-forcing (ZF) detection shows inferior performance to the optimal maximum likelihood (ML) scheme because it does not exploit the pattern of the weighted noise characterized by singular values and vectors of a corresponding channel matrix. Therefore, the proposed scheme finds a tentative solution with reduced candidates near the ZF filtering output. The search space is extend in the direction of minimizing the ML cost function and we find the final solution to overcome the ZF performance loss. The proposed detector has low complexity while keeping the performance comparable to the ML and other detection methods.
Keywords :
computational complexity; matrix algebra; maximum likelihood detection; minimisation; radio links; random noise; space division multiplexing; ML cost function minimization; SDM; channel matrix; maximum likelihood detection; multiple antennas; receive antennas; reduced search space scheme; singular values; spatial division multiplexing detection; transmit antennas; weighted noise; wireless data transmission; zero-forcing detection; Bandwidth; Bit error rate; MIMO; Maximum likelihood detection; Performance loss; Physical layer; Radio frequency; Receiving antennas; Transmitting antennas; Wireless LAN; MIMO; SDM; detection; equalization;
Conference_Titel :
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
Print_ISBN :
0-7803-8887-9
DOI :
10.1109/VETECS.2005.1543333