M. Nishikawa, Y. Nakamura, Y. Kanai, H. Osawa, Y. Okamoto
{"title":"Smr系统中神经网络检测器的研究","authors":"M. Nishikawa, Y. Nakamura, Y. Kanai, H. Osawa, Y. Okamoto","doi":"10.1109/TMRC49521.2020.9366710","DOIUrl":null,"url":null,"abstract":"We have previously proposed the waveform equalization using a two-dimensional finite impulse response (TD-FIR) filter [1], [2] and the inter-track interference (ITI) canceller [3] as a signal processing method for shingled magnetic recording (SMR) [4]. In this study, we propose a neural network detector which directly outputs log-likelihood ratio (LLR) as the reliability for the recording sequence from the reproduced waveform and evaluate the channel error rate (CER) performance of the neural network detector in iterative decoding system by computer simulation.","PeriodicalId":131361,"journal":{"name":"2020 IEEE 31st Magnetic Recording Conference (TMRC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Neural Network Detector in Smr System\",\"authors\":\"M. Nishikawa, Y. Nakamura, Y. Kanai, H. Osawa, Y. Okamoto\",\"doi\":\"10.1109/TMRC49521.2020.9366710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have previously proposed the waveform equalization using a two-dimensional finite impulse response (TD-FIR) filter [1], [2] and the inter-track interference (ITI) canceller [3] as a signal processing method for shingled magnetic recording (SMR) [4]. In this study, we propose a neural network detector which directly outputs log-likelihood ratio (LLR) as the reliability for the recording sequence from the reproduced waveform and evaluate the channel error rate (CER) performance of the neural network detector in iterative decoding system by computer simulation.\",\"PeriodicalId\":131361,\"journal\":{\"name\":\"2020 IEEE 31st Magnetic Recording Conference (TMRC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 31st Magnetic Recording Conference (TMRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TMRC49521.2020.9366710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 31st Magnetic Recording Conference (TMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TMRC49521.2020.9366710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We have previously proposed the waveform equalization using a two-dimensional finite impulse response (TD-FIR) filter [1], [2] and the inter-track interference (ITI) canceller [3] as a signal processing method for shingled magnetic recording (SMR) [4]. In this study, we propose a neural network detector which directly outputs log-likelihood ratio (LLR) as the reliability for the recording sequence from the reproduced waveform and evaluate the channel error rate (CER) performance of the neural network detector in iterative decoding system by computer simulation.
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