DocumentCode
2540241
Title
Downlink MIMO Signal Detection Algorithm in TD-LTE System
Author
Li, Xiaolin ; Liu, Wenwen
Author_Institution
Chongqing Key Lab. of Mobile Commun., ChongQing Univ. of Posts & Telecommun., Chongqing, China
fYear
2012
fDate
12-14 Oct. 2012
Firstpage
649
Lastpage
652
Abstract
MIMO (Multiple input multiple output) technology is a key technology in the LTE system. The quality of signal detection directly affects the performance of the system. This paper introduced several traditional detection algorithms-ML (Maximum Likelihood) algorithm, MMSE (Minimum mean square error) algorithm, the optimal ordering SIC (serial interference cancellation) algorithm, the QR decomposition algorithm and the iterative cycle QR decomposition algorithm. The simulation shows that, ML algorithm has the best performance, but it is a great amount of computation. Secondly, the iterative cycle QR decomposition algorithm has a better performance.
Keywords
Long Term Evolution; MIMO communication; interference suppression; iterative methods; least mean squares methods; matrix decomposition; maximum likelihood detection; MMSE algorithm; QR decomposition algorithm; TD-LTE system; downlink MIMO signal detection algorithm; iterative cycle QR decomposition algorithm; maximum likelihood detection algorithm; minimum mean square error algorithm; multiple input multiple output technology; optimal ordering SIC algorithm; serial interference cancellation algorithm; MIMO; QR decomposition algorithm; TD-LTE system; iterative cycle QR decomposition algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-4469-2
Type
conf
DOI
10.1109/BCGIN.2012.174
Filename
6382616
Link To Document