DocumentCode :
417877
Title :
Diversity interference cancellation using prefiltering and reduced-state MIMO equalization
Author :
Gerstacker, Wolfgang H. ; Nickel, Patrick ; Taylor, Desmond P.
Author_Institution :
Inst. for Mobile Commun., Univ. Erlangen-Nurnberg, Erlangen, Germany
Volume :
4
fYear :
2004
fDate :
17-21 May 2004
Abstract :
We consider a joint detection approach for cancellation of co-channel interference in time-division multiple access (TDMA) mobile communications systems like GSM/EDGE (enhanced data rates for GSM evolution). Concepts from reduced-state equalization of frequency-selective multiple-input multiple-output (MIMO) channels are applied together with prefiltering. A novel efficient prefilter computation algorithm is presented. Simulation results demonstrate the high performance of the proposed receiver for GSM/EDGE applications.
Keywords :
MIMO systems; cellular radio; cochannel interference; decision feedback equalisers; diversity reception; interference suppression; lattice filters; multiuser detection; time division multiple access; DDFSE; EDGE; MIMO delayed decision-feedback sequence estimation; TDMA mobile communications systems; antenna diversity; cochannel interference cancellation; diversity interference cancellation; enhanced data rates for GSM evolution; frequency-selective MIMO channels; joint detection method; lattice prediction-error filter; multiuser detection; prefiltering; reduced-state MIMO equalization; time-division multiple access; Computational modeling; Decision feedback equalizers; Delay estimation; Frequency synchronization; GSM; Interference cancellation; MIMO; Mobile communication; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326951
Filename :
1326951
Link To Document :
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