Abstract | ||
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We propose a three-track detection system for two dimensional magnetic recording (TDMR) in which a local area influence probabilistic (LAIP) detector works with a trellis-based Bahl-Cocke-Jelinek-Raviv (BCJR) detector to remove intersymbol interference (ISI) and intertrack interference (ITI) among coded data bits as well as media noise due to magnetic grain-bit interactions. Two minimum mean-squared error (MMSE) linear equalizers with different response targets are employed before the LAIP and BCJR detectors. The LAIP detector considers local grain-bit interactions and passes coded bit log-likelihood ratios (LLRs) to the channel decoder, whose output LLRs serve as a priori information to the BCJR detector, which is followed by a second channel decoding pass. Simulation results under 1-shot decoding on a grain-flipping-probability (GFP) media model show that the proposed LAIP/BCJR detection system achieves density gains of 6.8% for center-track detection and 1.2% for three-track detection compared to a standard BCJR/1D-PDNP. The proposed system's BCJR detector bit error rates (BERs) are lower than those of a recently proposed two-track BCJR/2D-PDNP system by factors of (0.55, 0.08) for tracks 1 and 2 respectively. |
Year | DOI | Venue |
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2019 | 10.1109/icc.2019.8761903 | IEEE International Conference on Communications |
Keywords | Field | DocType |
Two-dimensional magnetic recording,iterative detection and decoding,local area influence probability,grain-flipping-probability model | Intersymbol interference,Computer science,A priori and a posteriori,Data bits,Communication channel,Algorithm,Interference (wave propagation),Probabilistic logic,Decoding methods,Detector | Journal |
Volume | ISSN | Citations |
abs/1904.06599 | 1550-3607 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinlu Shen | 1 | 0 | 0.34 |
Xueliang Sun | 2 | 8 | 3.18 |
Krishnamoorthy Sivakumar | 3 | 693 | 53.64 |
Benjamin J. Belzer | 4 | 29 | 2.93 |
Kheong Sann Chan | 5 | 29 | 5.14 |
Ashish James | 6 | 18 | 5.43 |