R&D: Dependence of Bit Error Rates on HAMR Transition Curvatures
Artificial recording method is used and Viterbi algorithm applied to decode readback signals and calculate BERs.
This is a Press Release edited by StorageNewsletter.com on March 28, 2022 at 2:01 pmIEEE Transactions on Magnetics has published an article written by Kun Xue, and R. H. Victora, Department of Electrical and Computer Engineering, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
Abstract: “Transition curvature limits the performance of heat-assisted magnetic recording (HAMR), especially when bit length (BL) is reduced below 10nm. In this paper, in order to quantify this issue, the dependence of signal-to-noise ratios (SNRs) and bit error rates (BERs) on HAMR transition curvatures is investigated utilizing previously obtained curvature values. An artificial recording method is used and a Viterbi algorithm is applied to decode the readback signals and calculate BERs. A pseudorandom binary sequence is used. Two BLs are tested: 7.5nm and 8.5nm. Different reader widths, shield-to-shield distances and magnetic fly heights are studied in order to seek optimized reader configurations. Generally, transition curvatures have a negative effect on SNR and BER performance but this effect can be mitigated by the reduction of certain reader dimensions.“
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