Performance of random-access-memory-based equalizers in magnetic recording

We discuss two algorithms for mitigating the deleterious effects of nonlinear intersymbol interference in PR4- and EPR4-equalized magnetic recording channels. We call these algorithms RAM-Search algorithm because they borrow the idea of employing random-access memory (RAM) from the RAM decision-feedback equalizer (DFE) and because they involve a search. The RAM-Search algorithms have been devised to mitigate the error propagation problem that arises in making feedforward decisions (for precursor terms) in intersymbol interference (ISI) cancellers used in combination with partial-response signaling. We adopt a simple partial-erasure model for the nonlinear write process and a third-order polynomial model for the nonlinear read process, and show that improvements of about 2.5 dB are possible. We also demonstrate the efficacy of the algorithms on captured spinstand signals that suffer from a significant amount of nonlinear ISI.

[1]  N. Yeh,et al.  Optimal head design and characterization from a media perspective , 1999 .

[2]  Jan W. M. Bergmans,et al.  Digital baseband transmission and recording , 1996 .

[3]  R. Wood,et al.  The effects of nonlinear distortion on class IV partial response , 1986 .

[4]  H. Mutoh,et al.  The Effect Of MR Head Nonlinearity On MDFE And PRML Performance , 1997, 1997 IEEE International Magnetics Conference (INTERMAG'97).

[5]  William E. Ryan,et al.  RAM-search algorithms for nonlinear ISI cancellation in magnetic recording , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[6]  W. Ryan Performance of high rate turbo codes on a PR4-equalized magnetic recording channel , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[7]  J. Bergmans,et al.  DISCRETE-TIME MODELS FOR DIGITAL MAGNETIC RECORDING , 1986 .

[8]  Marc P. C. Fossorier,et al.  Simplified trellis diagram for a simple partial erasure model , 1998 .

[9]  Daesik Hong,et al.  Performance Of Neural Equalizers On Partial Erasure Model , 1997 .

[10]  Y. Uehara,et al.  A nonlinear model for magnetic recording channel with an MR head , 1998 .

[11]  John M. Cioffi,et al.  An adaptive RAM-DFE for storage channels , 1991, IEEE Trans. Commun..

[12]  William E. Ryan,et al.  Concatenated coding and iterative SOVA decoding with PR4 signaling , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[13]  William E. Ryan,et al.  Viterbi detector for PR4-equalized magnetic recording channels with transition-shift and partial-erasure nonlinearities , 1996 .

[14]  William E. Ryan,et al.  Performance of adaptive Volterra equalizers on nonlinear magnetic recording channels , 1995 .

[15]  N.M. Zayed,et al.  Equalization and detection for nonlinear recording channels with correlated noise , 1999, IEEE International Magnetics Conference.

[16]  Daesik Hong,et al.  A decision feedback recurrent neural equalizer for digital communication , 1997 .

[17]  A.F. Torabi,et al.  Effect Of MR Read Non-linearities On Extracted Dipulse Response , 1997, 1997 IEEE International Magnetics Conference (INTERMAG'97).

[18]  Oscar E. Agazzi,et al.  On the use of tentative decisions to cancel intersymbol interference and nonlinear distortion (with application to magnetic recording channels) , 1997, IEEE Trans. Inf. Theory.

[19]  John G. Proakis,et al.  Partial response equalizer performance in digital magnetic recording channels , 1993 .

[20]  Jan W. M. Bergmans A bit-by-bit detector for partial-response reception on digital magnetic recording channels , 1994, 1994 IEEE GLOBECOM. Communications: The Global Bridge.

[21]  Inkyu Lee,et al.  Performance comparison of receivers in a simple partial erasure model , 1994 .

[22]  William E. Ryan,et al.  A study of class I partial response signaling for magnetic recording , 1997 .