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
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;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2012 Second International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4469-2
DOI :
10.1109/BCGIN.2012.174
