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.

Oversampled detector for transition-noise-limited digital storage systems / Pighi, Riccardo; U., Amadei; Raheli, Riccardo. - (2006), pp. 3191-3196. (Intervento presentato al convegno IEEE Intern. Conf. Commun. (ICC 2006) tenutosi a Istanbul, Turkey nel June 2006) [10.1109/ICC.2006.255297].

Oversampled detector for transition-noise-limited digital storage systems

PIGHI, Riccardo;RAHELI, Riccardo
2006-01-01

Abstract

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.
2006
1424403553
Oversampled detector for transition-noise-limited digital storage systems / Pighi, Riccardo; U., Amadei; Raheli, Riccardo. - (2006), pp. 3191-3196. (Intervento presentato al convegno IEEE Intern. Conf. Commun. (ICC 2006) tenutosi a Istanbul, Turkey nel June 2006) [10.1109/ICC.2006.255297].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/1509095
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