2013
DOI: 10.1109/tmag.2013.2248351
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EXIT-Chart-Based LDPC Code Design for 2D ISI Channels

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Cited by 29 publications
(31 citation statements)
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“…The main challenge is that the overwrite effect in the TDMR channel model causes the LLR PDFs at the VND's input and output to be non-Gaussian. Thus, we cannot rely on a Gaussian assumption (as does, e.g., [7]) to find the EXIT chart curves.…”
Section: Exit Chart Based Ira Code Design For Tdmr Channel With mentioning
confidence: 99%
See 2 more Smart Citations
“…The main challenge is that the overwrite effect in the TDMR channel model causes the LLR PDFs at the VND's input and output to be non-Gaussian. Thus, we cannot rely on a Gaussian assumption (as does, e.g., [7]) to find the EXIT chart curves.…”
Section: Exit Chart Based Ira Code Design For Tdmr Channel With mentioning
confidence: 99%
“…Since the 2D-ISI equalizer output LLR PDF is well modeled as a two-component GMM (as can be seen in Fig. 3), we cannot compute the VND output mutual information I E,V N D using the general closed form equation used in [7], which relies on a Gaussian assumption. To find I E,V N D , we numerically calculate the output mutual information of the VND through the IRA decoder iterations.…”
Section: Exit Chart Based Ira Code Design For Tdmr Channel With mentioning
confidence: 99%
See 1 more Smart Citation
“…The design problem of matching the CND curve and the combined DET and VND curve is equivalent to solving the following linear programming problem [13] …”
Section: Optimized Degree Distributionsmentioning
confidence: 99%
“…In our previous work [12]- [13], new LDPC codes optimized for 2D ISI channels detected using symbol-based BCJR 2D detector (2D-DET) have been designed based on Extrinsic Information Transfer (EXIT) curve fitting of modified EXIT charts, which can achieve better performance than codes optimized for AWGN channels. However, the computational complexity of the BCJR 2D-DET is prohibitive, hence iterative row-column soft decision feedback algorithm (IRCSDFA) was proposed in [16] as a reduced-complexity 2D-DET.…”
Section: Introductionmentioning
confidence: 99%