PROJECT TITLE :
Investigation Into Harmful Patterns Over Multitrack Shingled Magnetic Detection Using the Voronoi Model
2-dimensional magnetic recording 2-D (TDMR) is a promising technology for next generation magnetic storage systems based on a systems-level framework involving subtle signal processing at the core. The TDMR channel suffers from severe jitter noise together with electronic noise that needs to be mitigated throughout signal detection and recovery. Recently, we have a tendency to developed noise prediction-based techniques as well as advanced signal detectors to work with these systems. But, it is necessary to perceive the role of harmful patterns that may be avoided throughout the encoding method. During this paper, we have a tendency to investigate the Voronoi-primarily based media model to check the harmful patterns over multitrack shingled recording systems. Through realistic quasi-micromagnetic simulation studies, we determine two-D knowledge patterns that contribute to high media noise. We have a tendency to explore the generic Voronoi model and gift our analysis on multitrack detection with constrained coded data. We have a tendency to show that the 2-D constraints imposed on input patterns end in an order of magnitude improvement in the bit-error rate for the TDMR systems. The utilization of constrained codes will scale back the complexity of 2-D intersymbol interference (ISI) signal detection, since the lesser 2-D ISI span can be accommodated at the cost of a nominal code rate loss. However, a system should be designed rigorously so that the rate loss incurred by a two-D constraint will not offset the detector performance gain thanks to additional distinguishable readback signals.
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