• 首頁> 外文期刊>IEEE Transactions on Magnetics >Multi-Track Joint Detection for Shingled Magnetic Recording on Bit Patterned Media With 2-D Sectors
    【24h】

    Multi-Track Joint Detection for Shingled Magnetic Recording on Bit Patterned Media With 2-D Sectors

    機譯:多磁道聯合檢測,用于二維扇區的位模式介質上的磁化記錄

    獲取原文
    獲取原文并翻譯 | 示例

    摘要

    Shingled writing on bit patterned media (BPM) is a promising technology to further increase the areal density beyond 1 Tbit/in2 without drastic changes in writer design. In this paper, a shingled writer is modeled for writing a 2-D sector on BPM, and in particular, we investigate the potential benefit of leaving the last track in the 2-D sector untrimmed, making it fatter than the other tracks in that 2-D sector. During detection, the more reliable information from the last untrimmed (i.e., the fat) track is used as a priori information for detecting the data in the other tracks in that 2-D sector. The simulation results indicate that for 2-D sector with ten tracks (at 3.64 Tbits/in2 channel bit density) and 5% media noise and at a target bit error rate of , using the fat track information, 2-D equalizer +2-D target + symbol-based pattern-dependent noise-predictive detector detecting a single track can provide about 2.9 dB SNR gain compared with that with the same joint detection method using uniform tracks at the same areal density. However, the latency increases due to the decision feedback detection. We can reduce this latency penalty by detecting three tracks at a time, but the SNR gain then reduces to 0.9 dB.
    機譯:在位模式媒體(BPM)上進行分層寫作是一種有前途的技術,可以進一步將面密度提高到1 Tbit / in2以上,而無需在作者設計中進行大幅度的更改。在本文中,將模擬一個水平的編寫器,以在BPM上編寫一個2-D扇區,特別是,我們研究了保留2-D扇區中的最后一個軌道不被修剪,使其比該中的其他軌道更胖的潛在好處。二維扇區。在檢測期間,來自最后未修剪的(即,脂肪)軌道的更可靠的信息被用作用于檢測該2-D扇區中其他軌道中的數據的先驗信息。仿真結果表明,對于具有十個磁道(3.64 Tbits / in2信道位密度)和5%媒體噪聲且目標誤碼率為的2-D扇區,使用胖磁道信息,二維均衡器+ 2-與使用相同軌道密度和相同面密度的聯合檢測方法相比,檢測單個軌道的基于D目標+基于符號的基于模式的噪聲預測檢測器可提供約2.9 dB的SNR增益。但是,由于決策反饋檢測,延遲增加了。我們可以通過一次檢測三個磁道來減少這種等待時間的損失,但是SNR增益隨后會降低到0.9 dB。

    著錄項

    相似文獻

    • 外文文獻
    • 中文文獻
    • 專利
    獲取原文

    客服郵箱:[email protected]

    京公網安備:11010802029741號 ICP備案號:京ICP備15016152號-6 六維聯合信息科技 (北京) 有限公司?版權所有
    • 客服微信

    • 服務號

    看新澳门最快开奖结果,新澳门最近15期开什么,马会传真-新澳门云,新澳门三肖三码最准网,新澳门资料新澳门资料