Title :
A Reduced-Complexity Sub-Maximum-Likelihood Detection Method for MIMO Systems
Author :
Whitworth, T. ; McLernon, D.C. ; Ghogho, M.
Author_Institution :
Sch. of Electron. & Electr. Eng., Leeds Univ.
Abstract :
For a MIMO system we propose a method which takes the MMSE equalized output (followed by a hard decision) and tests it to determine whether ML detection should be carried out. This technique gives significantly reduced average complexity, at the cost of sub-ML performance
Keywords :
MIMO communication; computational complexity; maximum likelihood detection; MIMO systems; MMSE; reduced average complexity; reduced-complexity sub-maximum-likelihood detection method; Benchmark testing; Bit error rate; Computational complexity; Decision feedback equalizers; Electronic equipment testing; High definition video; Information technology; MIMO; Signal processing; System testing;
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
DOI :
10.1109/ISSPIT.2006.270878
