A TMR Mitigation Method Based on Readback Signal in Bit-Patterned Media Recording

Busyatras, Wiparat; Warisarn, Chanon; Myint, Lin Min Min; Kovintavewat, Piya

doi:10.1587/transele.e98.c.892

Cited by 9 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, the servo mechanism can handle the TMR effect; however, it is difficult to control the read head when TMR occurs beyond its limit. 1,2 In our previous works, 3,4 the TMR mitigation methods were introduced based on the readback signals with a single reader. Specifically, the TMR was predicted by the estimated signal-to-noise ratio (SNR) and the average energy of the readback signal.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Utilization of multiple read heads for TMR prediction and correction in bit-patterned media recording

et al. 2016

View full text Add to dashboard Cite

This paper proposes a utilization of multiple read heads to predict and correct a track mis-registration (TMR) in bit-patterned media recording (BPMR) based on the readback signals. We propose to use the signal energy ratio between the upper and lower tracks from multiple read heads to estimate the TMR level. Then, a pair of two-dimensional (2D) target and its corresponding 2D equalizer associated with the estimated TMR will be chosen to correct the TMR in the data detection process. Numerical results show that the proposed system can achieve a very high accuracy of TMR prediction, thus performing better than the conventional system, especially when TMR is severe.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Specifically, the TMR was predicted by the estimated signal-to-noise ratio (SNR) and the average energy of the readback signal. 3 Thus, the accuracy of the TMR estimation from this method depends mainly on that of the SNR estimation. An iterative method was employed to estimate the TMR level in a coded BPMR system.…”

Section: Introductionmentioning

confidence: 99%