Title :
Data compression MMSE multiuser detection based on FAPI subspace tracking algorithm
Author :
Zhi-Qiang, Wei ; Yan-ling, Li
Author_Institution :
College of Mathematics and Information Sciences, North China University of Water Resources and Electric Power, Zhengzhou, China
Abstract :
For the subspace tracking algorithms that only track the subspace basis, a data compression MMSE multiuser detection (DCMMSE-MUD) is proposed by the data compression method. Its computational complexity is O(NK). FAPI subspace tracking algorithm can tracks the subspace bisis, and has the advantages of simple construction, better orthgonality and lower computational complexity (O(NK)). The results of DCMMSE-MUD´s simulations based on FAPI subspace tracking algorithm show that the performance of the detection method is perfect.
Keywords :
Approximation algorithms; Data compression; Multiaccess communication; Multiuser detection; Signal processing algorithms; Water resources; CDMA; FAPI; MMSE multiuser detection; data compression; subspace tracking;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5689548