DocumentCode :
2460665
Title :
Joint Detection Based on MMSE Decision Feedback Equalization with Interference Cancellation
Author :
Zhou, Huayu ; Tang, Hui ; Zhang, Qin
Author_Institution :
TCL Corp. Res., Shenzhen, China
fYear :
2009
fDate :
15-18 Sept. 2009
Firstpage :
219
Lastpage :
223
Abstract :
MMSE-DFE (minimum mean square error-decision feedback equalization) is a sliding-window decision feedback equalization method. This paper first applies MMSE-DFE into joint detection algorithm for TDD-CDMA (time division duplex-code division multiple access). It has the low complexity compared with MMSE-BDFE (minimum mean square error-block decision feedback equalization) based joint detection. MMSE-IC (minimum mean square error-interference cancellation) is an efficient detection algorithm in V-BLAST. To adopt the advantages of MMSE-IC, we introduce the interference cancellation into the MMSE-DFE based joint detection. By the aid of interference cancellation, the performance of the MMSE-DFE based joint detection is improved. The experiments show that the performance of the proposed joint detection algorithm has the better performance than the conventional MMSE-BDFE based joint detection.
Keywords :
code division multiple access; decision feedback equalisers; interference suppression; least mean squares methods; time division multiple access; MMSE decision feedback equalization; TDD-CDMA; V-BLAST; block decision feedback equalization; interference cancellation; joint detection algorithm; minimum mean square error; sliding-window decision feedback equalization; time division duplex-code division multiple access; Computer errors; Convolution; Decision feedback equalizers; Detection algorithms; Fading; Interference cancellation; Mobile communication; Multiaccess communication; Size control; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-0-7695-3786-3
Type :
conf
DOI :
10.1109/NGMAST.2009.44
Filename :
5337285
Link To Document :
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