A Near-Maximum-Likelihood Decoding Algorithm for MIMO Systems Based on Semi-Definite Programming
نویسندگان
چکیده
منابع مشابه
Near Maximum Likelihood Decoding with Deep Learning
A novel and efficient neural decoder algorithm is proposed. The proposed decoder is based on the neural Belief Propagation algorithm and the Automorphism Group. By combining neural belief propagation with permutations from the Automorphism Group we achieve near maximum likelihood performance for High Density Parity Check codes. Moreover, the proposed decoder significantly improves the decoding ...
متن کاملA Polynomial Time Algorithm for Exact Maximum Likelihood Decoding of Mimo Channels: a Discrete Geometric Approach
The information capacity of wireless communication systems may be increased dramatically by employing multiple transmit and receive antennas. Often the optimal receiver in Maximum likelihood sequence detector (MLSD), which is considered to be practically infeasable due to high computational complexity. Therefore, in practice one often settles with less complex suboptimal receiver structure. In ...
متن کاملAn Efficient Quasi-Maximum Likelihood Decoding for Finite Constellations
In Multi-Input Multi-Output (MIMO) systems, maximum-likelihood (ML) decoding is equivalent to finding the closest lattice point in an N -dimensional complex space. In general, this algorithm is known to be NP hard. In this paper, we propose a quasi-maximum likelihood algorithm based on Semi-Definite Programming (SDP). We introduce several SDP relaxation models for MIMO systems, with increasing ...
متن کاملEfficient Near Maximum-Likelihood Detection for Underdetermined MIMO Antenna Systems Using a Geometrical Approach
Maximum-likelihood (ML) detection is guaranteed to yield minimum probability of erroneous detection and is thus of great importance for both multiuser detection and space-time decoding. For multiple-input multiple-output (MIMO) antenna systems where the number of receive antennas is at least the number of signals multiplexed in the spatial domain, ML detection can be done efficiently using sphe...
متن کاملA Simplified Maximum Likelihood Detection Scheme for MIMO Systems
Multiple transmit and multiple receive antennas system, referred to Multiple-Input Multiple-Output (MIMO) system, is known to achieve large channel capacity without bandwidth expansion. In this paper, we propose a simplified ML detection scheme for MIMO system which has reduced computational complexity compared to Maximum Likelihood (ML) detection scheme. According to simulation results, the bi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2007
ISSN: 0018-9448
DOI: 10.1109/tit.2007.907472