Jitter-like noise cancellation using AR model of PR channel in perpendicular magnetic recording

Performance improvement of partial-response maximum-likelihood (PRML) system in the perpendicular magnetic recording channel with jitter-like noise is studied. The performance of a Viterbi detector is improved by applying an autoregressive (AR) model in order to estimate the detector input sequence. The required signal-to-noise ratio to achieve a bit-error rate (BER) of 10/sup -4/ is obtained by computer simulation. In addition, a BER performance is also obtained by read/write experiments using a spin-stand. The results show that the proposed PRML system using an AR model exhibits better performance when compared with the normal PRML systems without an AR model.