Open AccessApproximate maximum a posteriori detection for multiple‐input–multiple‐output systems with bit‐level lattice reduction‐aided detectors and successive interference cancellation
Author(s) -
Bai Lin,
Li Qiaoyu,
Bai Wei,
Choi Jinho
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0510
Subject(s) - single antenna interference cancellation , detector , lattice reduction , reduction (mathematics) , computer science , a priori and a posteriori , maximum a posteriori estimation , converters , interference (communication) , algorithm , control theory (sociology) , mathematics , telecommunications , statistics , physics , maximum likelihood , artificial intelligence , voltage , epistemology , mimo , control (management) , quantum mechanics , channel (broadcasting) , philosophy , geometry
For iterative detection and decoding (IDD) in multiple‐input–multiple‐output (MIMO) systems, although the maximum a posteriori (MAP) detector can achieve an optimal performance, because of its prohibitively high computational complexity, various low‐complexity approximate MAP detectors are studied. Among the existing MIMO detectors for the non‐IDD receivers, lattice reduction (LR)‐aided detectors can provide a near maximum‐likelihood (ML) detector's performance with reasonably low complexity, and they could be modified to be used in the IDD receivers. In this study, the authors propose a bit‐level LR‐aided MIMO detector whose performance can approach that of the MAP detector, where a priori information is taken into account for soft‐decisions. Furthermore, the proposed method can be extended to large dimensional MIMO systems by channel matrix decomposition and successive interference cancellation, by which a significant complexity reduction can be achieved. Through simulations and complexity analysis, it is shown that a near‐optimal performance is obtained by the authors proposed low‐complexity bit‐level LR‐aided detector for the IDD in the MIMO systems.