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Dr Nadia Awad

Research Student

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On Reducing the Decoding Complexity of Shingled Magnetic Recording System

Shingled Magnetic Recording (SMR) has been recognised as one of the alternative technologies
to achieve an areal density beyond the limit of the perpendicular recording technique,
1 Tb/in<sup>2</sup>, which has an advantage of extending the use of the conventional method
media and read/write head.


This work presents SMR system subject to both Inter Symbol Interference (ISI) and Inter
Track Interference (ITI) and investigates different equalisation/detection techniques in order
to reduce the complexity of this system.


To investigate the ITI in shingled systems, one-track one-head system model has been extended
into two-track one-head system model to have two interfering tracks. Consequently,
six novel decoding techniques have been applied to the new system in order to find the Maximum
Likelihood (ML) sequence. The decoding complexity of the six techniques has been
investigated and then measured. The results show that the complexity is reduced by more
than three times with 0.5 dB loss in performance.


To measure this complexity practically, perpendicular recording system has been implemented
in hardware. Hardware architectures are designed for that system with successful
Quartus II fitter which are: Perpendicular Magnetic Recording (PMR) channel, digital
filter equaliser with and without Additive White Gaussian Noise (AWGN) and ideal
channel architectures. Two different hardware designs are implemented for Viterbi Algorithm
(VA), however, Quartus II fitter for both of them was unsuccessful. It is found that,
Simulink/Digital Signal Processing (DSP) Builder based designs are not efficient for complex
algorithms and the eligible solution for such designs is writing Hardware Description
Language (HDL) codes for those algorithms.

Dr Nadia Awad

Director of studies: Dr Mohammed Zaki Ahmed
Other supervisors: Dr Paul Davey

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