Noise Predictive Information Rate Estimation for TDMR Channels

摘要

In this paper, we use the forward recursion BCJR algorithm to estimate the symmetricudinformation rate for Two Dimensional Magnetic Recording (TDMR) channels. In particular, weudconsider a TDMR read/write channel whose all components, including recording medium, writeudand readback processes are modeled in software. Since the primary source of noise in TDMRudarises from irregularities in the recording medium and leads to highly colored and data-dependentudjitter, the pattern dependent noise predictive (PDNP) algorithm is implemented to improve theudaccuracy and performance of SIR estimation. Furthermore, we study the performance gain ofudusing the PDNP algorithm in SIR estimation through simulations over the Voronoi based mediaudmodel for different TDMR channel configurations.