2014
DOI: 10.1109/tmag.2014.2316203
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A Rate-8/9 2-D Modulation Code for Bit-Patterned Media Recording

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Cited by 31 publications
(10 citation statements)
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“…On the read channel, the readback waveforms, r l−1 (t), r l (t), and, r l+1 (t) are filtered using a low pass filter and sampled into discrete time sequences. The readback samples r k,l are then equalized by 2D finite impulse response (FIR) equalizers, which are designed based on a minimum mean-squared error approach with a fixed 3 × 3 2D generalized partial response (GPR) target [9], [10]. The 2D GPR target coefficients can be obtained from the reader sensitivity by sampling the reader sensitivity at the center of the bit cell area at center bit and its 8 neighboring bits.…”
Section: Tdmr Channel Modelmentioning
confidence: 99%
“…On the read channel, the readback waveforms, r l−1 (t), r l (t), and, r l+1 (t) are filtered using a low pass filter and sampled into discrete time sequences. The readback samples r k,l are then equalized by 2D finite impulse response (FIR) equalizers, which are designed based on a minimum mean-squared error approach with a fixed 3 × 3 2D generalized partial response (GPR) target [9], [10]. The 2D GPR target coefficients can be obtained from the reader sensitivity by sampling the reader sensitivity at the center of the bit cell area at center bit and its 8 neighboring bits.…”
Section: Tdmr Channel Modelmentioning
confidence: 99%
“…Furthermore, Warisarn et al [11] and Kovintavewat et al [12] utilized a 2D modulation code to avoid fatal data patterns that cause severe ITI to be stored on a magnetic medium; however, these methods required large memory to encode and decode the data. Hence, Chang and Cruz [13] employed the joint track concept to design the equalizer suitable for a staggered BPMR system, whereas Fujii and Shinohara [14] proposed the ISI and ITI cancellation technique by using a multi-track iterative method for a shingled write recording system.…”
Section: Introductionmentioning
confidence: 99%
“…To overcome the challenge presented by 2D ISI, many solutions regarding the readback part have been suggested in previous reports including the following: (i) solutions based on 2D equalisation [5, 6], (ii) solutions based on 2D soft output Viterbi algorithm (SOVA) [7–9], and (iii) solutions based on the principle of turbo equalisation [10–12]. Alternatively, a user‐data encoding procedure is also used for the writing part in ultra‐high‐density storage systems [13–20]. Applying advanced encoding schemes such as the low‐density parity‐check code, one of the turbo codes, for these systems yields the significant improvements regarding the system performance [13–15].…”
Section: Introductionmentioning
confidence: 99%
“…A conservatively constrained, multimode 2D balanced code was introduced for holographic storage [17], whereas Groenland and Abelmann [18] introduced a 7/9 2D channel code where ‘one’ and ‘zero’ bits are fixed to avoid the 2D interference at every 3‐by‐3 data array. Further, a 6/8 modulation code with non‐isolated patterns was introduced in [19] for the mitigation of the 2D ISI problem, and an 8/9 modulation code [20] was recently investigated to eliminate the 2D interference in a BPMR system. In this study, we propose a 9/12 modulation code for the mitigation of not only 2D ISI patterns, but also the effect of ITI patterns.…”
Section: Introductionmentioning
confidence: 99%
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