IEEE transactions on magnetics, 2021-03, Vol.57 (3), p.1-5
2021
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- A Study on Neural Network Detector in SMR System
- Ist Teil von
- IEEE transactions on magnetics, 2021-03, Vol.57 (3), p.1-5
- Ort / Verlag
- New York: IEEE
- Erscheinungsjahr
- 2021
- Quelle
- IEEE Electronic Library Online
- Beschreibungen/Notizen
- We have previously proposed the waveform equalization using a two-dimensional finite impulse response (TD-FIR) filter and the inter-track interference (ITI) canceller as a signal processing method for shingled magnetic recording (SMR) system. In this study, we propose a neural network detector (NND) to automate the iterative decoding in the future and evaluate the performance of the NND in SMR system. The result shows that our proposed NND shows almost the same performances as a combined system with TD-FIR filter and soft-output Viterbi algorithm (SOVA) detector with signal-dependent noise predictor.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0018-9464eISSN: 1941-0069DOI: 10.1109/TMAG.2020.3027253Titel-ID: cdi_proquest_journals_2492856779
- Format
- –
- Schlagworte
- Algorithms, Artificial neural networks, Bars, Decoding, Detectors, Equalization, FIR filters, Impulse response, Inter-track interference (ITI), Magnetic recording, Magnetism, neural network, Neural networks, Noise prediction, Sensors, shingled magnetic recording (SMR), Signal processing, Target tracking, Viterbi algorithm detectors, Waveforms