Title :
Decoding With Hypothesis Testing: A Near ML Decoding Scheme for MIMO Systems
Author :
Oh, Jongho ; Park, So Ryoung ; Lee, Seong Ro ; Song, Iickho
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fDate :
3/1/2011 12:00:00 AM
Abstract :
A near maximum-likelihood (NML) scheme for the decoding of multiple-input-multiple-output (MIMO) systems is addressed by incorporating the technique of hypothesis testing in the searching procedure. The proposed decoding scheme selects the best node based on the node metric, determines one child node of the best node via hypothesis testing, and connects the best node with some sibling nodes of the child node. From simulation results, it is confirmed that the proposed scheme has a lower computational complexity than other NML decoders and that the performance difference between the proposed and maximum-likelihood schemes is negligibly small.
Keywords :
MIMO systems; computational complexity; maximum likelihood decoding; tree searching; MIMO systems; child node; computational complexity; hypothesis testing; metric-first search; near maximum-likelihood decoding; node metric; sibling nodes; tree search; Hypothesis testing; metric-first search; multiple-input–multiple-output (MIMO) systems; near maximum-likelihood (NML) decoder; tree search;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2011.2104986
