Advanced read channels for magnetic disk drives

Howell, T.D.; Abbott, W.L.; Fisher, Kevin D.

doi:10.1109/20.333910

Cited by 7 publications

(1 citation statement)

References 17 publications

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“…Furthermore, we use magnetic recording read channel adaptive equalizer as a test vehicle to demonstrate the effectiveness of the proposed design approach. This is motivated by two factors: 1) Partial response maximum likelihood (PRML) equalization has been widely used in magnetic storage systems [9], where least mean square (LMS) adaptive filters are typically used to improve the equalization performance. LMS filter must be pipelined to meet the very high data transfer rate requirement in magnetic storage.…”

Section: Introductionmentioning

confidence: 99%

Self-timed dynamically pipelined adaptive signal processing system: a case study of DLMS equalizer for read channel

Chen

Zhang

2005

IEEE Trans. Circuits Syst. I

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Many pipelined adaptive signal processing systems are subject to a tradeoff between throughput and signal processing performance incurred by the pipelined adaptation feedback loops. In the conventional synchronous design regime, such throughput/performance tradeoff is typically fixed since the pipeline depth is usually determined in the design phase and remains unchanged in the run time. Nevertheless, in many real-life scenarios, the overall system performance can be potentially improved if we can run-time dynamically configure this tradeoff. With this motivation, we propose to apply self-timed pipeline, an alternative to synchronous pipeline, to implement the pipelined adaptive signal processing systems, in which the pipeline depth can be dynamically changed to realize run-time configurable throughput/performance tradeoffs. Based on a well-known high speed self-timed pipeline style, we developed architecture and circuit level design techniques to implement the self-timed pipelined adaptation feedback loop with configurable pipeline depth. We demonstrate the proposed design approach using a delayed least mean square (DLMS) adaptive equalizer for magnetic recording read channel. The data transfer rate in hard disk varies as the read head moves among tracks with different distance from the center of the disk platter. By adjusting the pipeline depth on-the-fly, the DLMS equalizer can dynamically track the best equalization performance allowed by the varying data transfer rates. Simulation result shows a significant performance improvement compared with its synchronous counterpart.Index Terms-Adaptive signal processing, delayed least mean square (DLMS), self-timed, pipelining.

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Section: Introductionmentioning

confidence: 99%