DocumentCode :
1757054
Title :
Optimal Detector for Multilevel NAND Flash Memory Channels with Intercell Interference
Author :
Asadi, Meysam ; Xiujie Huang ; Kavcic, Aleksandar ; Santhanam, Narayana P.
Author_Institution :
Dept. of Electr. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA
Volume :
32
Issue :
5
fYear :
2014
fDate :
41760
Firstpage :
825
Lastpage :
835
Abstract :
In this paper we derive the optimal detector for multilevel cell (MLC) flash memory channels with intercell interference (ICI). We start with the MLC channel model proposed by Dong et al. and just slightly alter the model to guarantee mathematical tractability of the optimal detectors (maximum likelihood and maximum a-posteriori sequence and symbol detectors). The optimal detector is obtained by computing branch metrics using Fourier transforms of analytically computable characteristic functions (corresponding to likelihood functions). We derive the detectors for both simple one-dimensional (1D) channel models and more realistic page-orientated two-dimensional (2D) channel models. Simulation results show that the hard-output bit error rate (BER) performance matches some previously known detectors, but that the soft-output detector outperforms previously known detectors by 0.35 dB.
Keywords :
Fourier transforms; flash memories; integrated circuit noise; integrated memory circuits; interference (signal); maximum likelihood detection; 2D channel model; BER; Fourier transforms; hard output bit error rate; intercell interference; maximum a posteriori sequence detection; maximum likelihood detection; multilevel NAND flash memory channel; multilevel cell flash memory channel; optimal detector; symbol detection; Ash; Channel models; Computer architecture; Detectors; Measurement; Microprocessors; Threshold voltage; Fast Fourier transform (FFT); NAND flash memory; intercell interference (ICI); maximum a posteriori (MAP) detector; multilevel cell (MLC);
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/JSAC.2014.140503
Filename :
6804928
Link To Document :
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