DocumentCode :
3441552
Title :
Variance-Optimized Rao-Blackwellization for Mitigating Error Propagation in a Decision Feedback Equalization
Author :
Lee, Yun-Ho
Author_Institution :
Samsung Design Center, Georgia Inst. of Technol., Atlanta, GA
fYear :
2008
fDate :
5-8 May 2008
Firstpage :
404
Lastpage :
409
Abstract :
A variance-optimized Rao-Blackwellization (VO-RB) soft decision scheme is presented for mitigating error propagation in a decision feedback equalizer (DFE). The VO-RB soft decision scheme uses optimized variance for the RB decision block to minimize a cost function, instead of the tentative equalizer output variance as in the original Rao-Blackwellization approach. This VO-RB decision device can be employed stand-alone or jointly with any other soft scheme for the joint optimization of DFE filter to minimize bit error rate (BER) or other cost function. In this paper, the VO-RB is employed by itself and with scaling soft scheme for HDTV and EDGE systems, and simulation results show the performance gain of the VO-RB with/ without scaled feedback regressor over other conventional decision devices.
Keywords :
decision feedback equalisers; error statistics; BER; DFE filter; EDGE; HDTV; Rao-Blackwellization; bit error rate; decision feedback equalization; error propagation; soft decision scheme; variance optimization; Bandwidth; Bit error rate; Cost function; Decision feedback equalizers; Filters; HDTV; Intersymbol interference; Magnetic separation; Maximum likelihood estimation; Performance gain; DFE; Error Propagation; Rao-Blackwellization; Soft Decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Networks and Services Research Conference, 2008. CNSR 2008. 6th Annual
Conference_Location :
Halifax, NS
Print_ISBN :
978-0-7695-3135-9
Type :
conf
DOI :
10.1109/CNSR.2008.43
Filename :
4519887
Link To Document :
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