Oversampled Detector for Transition-Noise-Limited Digital Storage Systems

In the last decade, significant research has been performed on detection algorithms capable of mitigating the effects of colored Gaussian thermal noise and transition noise in digital storage systems. In this paper, we present a new Maximum A-Posteriori Probability (MAP) sequence detection scheme based on oversampling and linear prediction. The proposed solution improves the Bit Error Rate (BER) performance with respect to conventional systems and makes the detector more robust against transition noise. The results obtained for a magnetic channel can be also extended to optical storage systems.