TY - GEN
T1 - Soft-output MIMO MMSE OSIC detector under MMSE channel estimation
AU - Wang, Jun
AU - Li, Shaoqian
PY - 2008
Y1 - 2008
N2 - In practical wireless multiple-input multiple-output (MIMO) communication systems, the channel estimation must be imperfect. Unfortunately, the channel estimation errors have not been taken into account by existing soft-output MIMO minimum mean square error (MMSE) ordering successive interference cancellation (OSIC) detectors when calculating the log-likelihood ratio of each coded bit, i.e., the soft information. As a result, the system performance can be degraded. In this paper, we propose a novel soft-output MIMO MMSE OSIC detector when MMSE MIMO channel estimation is applied. Based on the basic statistic properties of MMSE MIMO channel estimation, this proposed detector takes the channel estimation error into account in the computation of the MMSE filter and LLR of each coded bit. When compared with existing MIMO MMSE OSIC detectors, our simulation results show that the proposed novel detector can obtain considerable performance gain at the cost of negligible increase of complexity.
AB - In practical wireless multiple-input multiple-output (MIMO) communication systems, the channel estimation must be imperfect. Unfortunately, the channel estimation errors have not been taken into account by existing soft-output MIMO minimum mean square error (MMSE) ordering successive interference cancellation (OSIC) detectors when calculating the log-likelihood ratio of each coded bit, i.e., the soft information. As a result, the system performance can be degraded. In this paper, we propose a novel soft-output MIMO MMSE OSIC detector when MMSE MIMO channel estimation is applied. Based on the basic statistic properties of MMSE MIMO channel estimation, this proposed detector takes the channel estimation error into account in the computation of the MMSE filter and LLR of each coded bit. When compared with existing MIMO MMSE OSIC detectors, our simulation results show that the proposed novel detector can obtain considerable performance gain at the cost of negligible increase of complexity.
KW - Channel estimation
KW - Minimum mean square error
KW - Multiple-input multiple-output
KW - Ordering successive interference cancellation
KW - Soft-output
UR - https://www.scopus.com/pages/publications/58049144103
U2 - 10.1109/CHINACOM.2008.4685222
DO - 10.1109/CHINACOM.2008.4685222
M3 - 会议稿件
AN - SCOPUS:58049144103
SN - 9781424423736
T3 - 3rd International Conference on Communications and Networking in China, ChinaCom 2008
SP - 1117
EP - 1121
BT - 3rd International Conference on Communications and Networking in China, ChinaCom 2008
PB - IEEE Computer Society
T2 - 3rd International Conference on Communications and Networking in China, ChinaCom 2008
Y2 - 25 August 2008 through 27 August 2008
ER -