首页> 外文OA文献 >Multihead Multitrack Detection with Reduced-State Sequence Estimation
【2h】

Multihead Multitrack Detection with Reduced-State Sequence Estimation

机译:具有降阶序列估计的多头多轨道检测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

To achieve ultra-high storage capacity, the data tracks are squeezed more andmore on the magnetic recording disks, causing severe intertrack interference(ITI). The multihead multitrack (MHMT) detector is proposed to better combatITI. Such a detector, however, has prohibitive implementation complexity. Inthis paper we propose to use the reduced-state sequence estimation (RSSE)algorithm to significantly reduce the complexity, and render MHMT practical. Wefirst consider a commonly used symmetric two-head two-track (2H2T) channelmodel. The effective distance between two input symbols is redefined. Itprovides a better distance measure and naturally leads to an unbalanced setpartition tree. Different trellis configurations are obtained based on thedesired performance/complexity tradeoff. Simulation results show that thereduced MHMT detector can achieve near maximum-likelihood (ML) performance witha small fraction of the original number of trellis states. Error event analysisis given to explain the behavior of RSSE algorithm on 2H2T channel. Searchresults of dominant RSSE error events for different channel targets arepresented. We also study an asymmetric 2H2T system. The simulation results anderror event analysis show that RSSE is applicable to the asymmetric channel.
机译:为了实现超高存储容量,数据磁道越来越多地被压缩在磁记录磁盘上,从而引起严重的磁道间干扰(ITI)。提出了多头多轨(MHMT)检测器,以更好地打击ITI。然而,这种检测器具有过分的实现复杂性。在本文中,我们提出使用简化状态序列估计(RSSE)算法来显着降低复杂度,并使MHMT实用化。我们首先考虑一个常用的对称两头两轨(2H2T)信道模型。重新定义两个输入符号之间的有效距离。它提供了更好的距离度量,并自然导致不平衡的setpartition树。基于所需的性能/复杂度折衷,获得不同的网格配置。仿真结果表明,所推导的MHMT检测器能够以接近原始格状状态数量的一小部分实现接近最大似然(ML)的性能。通过错误事件分析来解释RSSE算法在2H2T信道上的行为。给出了针对不同信道目标的主要RSSE错误事件的搜索结果。我们还研究了非对称2H2T系统。仿真结果和错误事件分析表明,RSSE适用于非对称信道。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号