Open AccessDoubly iterative multiple‐input–multiple‐output‐bit‐interleaved coded modulation receiver with joint channel estimation and randomised sampling detection
Author(s) -
Bai Lin,
Dou Shengyue,
Xiao Zhengyu,
Choi Jinho
Publication year - 2016
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2014.0503
Subject(s) - algorithm , mimo , computer science , computational complexity theory , channel (broadcasting) , bit error rate , joint (building) , reduction (mathematics) , iterative method , sampling (signal processing) , control theory (sociology) , decoding methods , mathematics , telecommunications , detector , artificial intelligence , engineering , architectural engineering , geometry , control (management)
In this study, the authors propose a lattice reduction (LR)‐based doubly iterative receiver for joint channel estimation and detection in multiple‐input–multiple‐output (MIMO) bit‐interleaved coded modulation systems. For the inner iteration loop of the receiver, LR‐based randomised sampling detection is employed to enjoy the tradeoff between performance and complexity while for the outer iteration loop, the expectation–maximisation (EM)‐based iterative channel estimation using sampling results is proposed to achieve the maximum likelihood channel estimation performance. Besides, a modified computational efficient EM‐based channel estimation approach is also derived to reduce the complexity further. Simulation results demonstrate that the proposed doubly MIMO iterative receiver can have comparable bit‐error rate performance with a reasonable computational complexity.