TY - GEN
T1 - Efficient soft MIMO detection by QR decomposition of channel Matrix
AU - Zhang, Meixiang
AU - Kim, Sooyoung
PY - 2012
Y1 - 2012
N2 - This paper presents a new soft detection scheme for multi-input multi-output (MIMO) system with turbo codes, which inherently requires soft input information from the MIMO detection part. The MIMO system operates for spatial multiplexing, in which an exhaustive search is the only option for a maximum likelihood (ML) soft detection. Although the maximum performance can be achieved using the ML soft detection scheme, the complexity increases exponentially with the number of antennas and modulation orders. In this paper, we first detect the signal in a symbol level with QR decomposition of the channel matrix, and then apply soft demapping scheme with proper channel gains. By this way, the complexity is greatly reduced, and combined with turbo code, the proposed method can achieve a close performance to that of ML detection.
AB - This paper presents a new soft detection scheme for multi-input multi-output (MIMO) system with turbo codes, which inherently requires soft input information from the MIMO detection part. The MIMO system operates for spatial multiplexing, in which an exhaustive search is the only option for a maximum likelihood (ML) soft detection. Although the maximum performance can be achieved using the ML soft detection scheme, the complexity increases exponentially with the number of antennas and modulation orders. In this paper, we first detect the signal in a symbol level with QR decomposition of the channel matrix, and then apply soft demapping scheme with proper channel gains. By this way, the complexity is greatly reduced, and combined with turbo code, the proposed method can achieve a close performance to that of ML detection.
KW - MIMO
KW - QR decomposition
KW - Soft detection
KW - Spatial multiplexing
UR - https://www.scopus.com/pages/publications/84870720142
U2 - 10.1109/SCET.2012.6341958
DO - 10.1109/SCET.2012.6341958
M3 - Conference paper
AN - SCOPUS:84870720142
SN - 9781457719646
T3 - 2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings
BT - 2012 Spring World Congress on Engineering and Technology, SCET 2012 - Proceedings
T2 - 2012 Spring World Congress on Engineering and Technology, SCET 2012
Y2 - 27 May 2012 through 30 May 2012
ER -