Computing Information Rates of Magnetic Recording Systems with Media Noise

The compound behavior of the magnetic recording channel is modelled by combining a media noise model, the Lorentzian read-back pulse, and additive white Gaussian noise (AWGN). The media noise model is used to imitate the random zig-zag transition effects that take place when storing a change in magnetic flux on thin film media. The Lorentzian pulse models the frequency-dispersive nature of the read-back head, and the AWGN models electronics noise. By noting that at the output of the magnetic recording channel the read-back signal is cyclostationary, the average autocorrelation function and corresponding power spectral density over one period are computed. The average power spectral density is then used to characterize achievable information rates of the magnetic recording channel for various linear-density and media noise scenarios by using the conjectured Shamai--Laroia bound.

By: Dieter Arnold

Published in: RZ3410 in 2002

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