Signal processing and detection for array reader magnetic recording system

Xia, Haitao; Lu, L.; Jeong, Soon Young; Lu, Pan; Xiao, Jun

doi:10.1109/intmag.2015.7157035

Cited by 4 publications

(20 citation statements)

References 2 publications

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“…As an example, Fig. 6 shows an eight-state subset trellis for a memory-2 channel with configuration [4,2], i.e., Ω(1) is chosen to be L 4 , and Ω(2) is chosen to be L 2 . In this case, the incoming symbols start to merge at the second stage.…”

Section: B Set Partition Tree For 2h2t Systemmentioning

confidence: 99%

“…An illustration of detection on subset trellis. Consider a subset trellis [4,2] constructed for PR2 channel 1 + 2D + D 2 . The leftmost column lists the subset state sn, while the column next to it lists the corresponding survivor ML states p n .…”

Section: B Set Partition Tree For 2h2t Systemmentioning

confidence: 99%

“…For the EPR4 channel h(D) = in Ω(3) = L 2 is substantially reduced. However, a less aggressive construction using configuration [4,4,3] achieves near-ML performance. The decrease in ∆ 2 2 at this ITI level also degrades the performance of RSSE[4, 2, 2] and [4,3,2].…”

Section: B Channel With Higher Memorymentioning

confidence: 99%

“…However, a less aggressive construction using configuration [4,4,3] achieves near-ML performance. The decrease in ∆ 2 2 at this ITI level also degrades the performance of RSSE[4, 2, 2] and [4,3,2]. Their BER curves overlap in Fig.…”

Section: B Channel With Higher Memorymentioning

confidence: 99%

“…Intertrack interference (ITI), caused by aggressively shrinking the track pitch, is one of the more severe impairments in next generation hard disk drives (HDDs) [1] [2]. The use of an array reader to simultaneously read and process multiple tracks has recently drawn intensive interest because of its capability to handle ITI as well as electronic noise [3] [4]. The associated maximum likelihood (ML) detector complexity is, however, drastically increased.…”

Section: Introductionmentioning

confidence: 99%

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Multihead Multitrack Detection With Reduced-State Sequence Estimation

2015

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Abstract-To achieve ultra-high storage capacity, the data tracks are squeezed more and more on the magnetic recording disks, causing severe intertrack interference (ITI). The multihead multitrack (MHMT) detector is proposed to better combat ITI. Such a detector, however, has prohibitive implementation complexity. In this paper we propose to use the reduced-state sequence estimation (RSSE) algorithm to significantly reduce the complexity, and render MHMT practical. We first consider a commonly used symmetric two-head two-track (2H2T) channel model. The effective distance between two input symbols is redefined. It provides a better distance measure and naturally leads to an unbalanced set partition tree. Different trellis configurations are obtained based on the desired performance/complexity tradeoff. Simulation results show that the reduced MHMT detector can achieve near maximum-likelihood (ML) performance with a small fraction of the original number of trellis states. Error event analysis is given to explain the behavior of RSSE algorithm on 2H2T channel. Search results of dominant RSSE error events for different channel targets are presented. We also study an asymmetric 2H2T system. The simulation results and error event analysis show that RSSE is applicable to the asymmetric channel.

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Section: B Set Partition Tree For 2h2t Systemmentioning

confidence: 99%

Section: B Set Partition Tree For 2h2t Systemmentioning

confidence: 99%