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Editorial - Signal processing for high density storage channels

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... However, the role of sophisticated signal processing techniques is increasingly becoming crucial in supporting and augmenting the advancement in media, lasers and lenses technologies. In fact, fuelled by the advances in CMOS technology, digital signal processing is recognized as a cost efficient means for increasing density while satisfying challenging design constraints in terms of data rate, power consumption and implementation cost [33,66,79,113,152]. Moreover, the necessity of using advanced signal processing techniques becomes even more obvious as the storage density increases and the signal to distortion ratios reduce [22,42,86,113,142,145]. ...
... A s a proven, efficient and reliable storage method, for massive amount of data, the magnetic recording exist over the past decades [1] . For several generations of products the detection of data was accomplished with maximumlikelihood Viterbi detector, operating on a read signal that has been equalized to a specific partial response (PR) target. ...
Conference Paper
In this paper propagation of soft-output information through the Boolean logic circuits is considered. As the result, an implementation of log-likelihood ratio (LLR) algebra in Boolean logic mappings is presented. The consequence of this approach to the soft-output decoding of maximum transition run (MTR) codes and their utilization in iterative decoding has been simulated and evaluated over E<sup>2</sup>PR4 magnetic recording channel
Article
The topic of this dissertation is the derivation, development, and evaluation of novel turbo equalization techniques that address the colored noise problem on the magnetic recording channel. One new algorithm presented is the noise-predictive BCJR, which is a soft-output detection strategy that mitigates colored noise in partial-response equalized magnetic recording channels. This algorithm can be viewed as a combination of the traditional BCJR algorithm with the notion of survivors and noise prediction. Additionally, an alternative equalization architecture for magnetic recording is presented that addresses the shortcomings of the PRML approach, which dominates magnetic recording. Specifically, trellis-based equalizers are abandoned in favor of simple equalization strategies based on nonlinear filters whose complexity grows only linearly with their length. This research focuses on the linear-complexity SFE algorithm and on investigating the possibility of lowering the SFE filter calculation complexity. The results indicate that with using the proposed novel SFE method, it is possible to increase the information density on magnetic media without raising the complexity. The most important result presented is that partial-response equalization needs to be reconsidered because of the amount of noise enhancement problems that it adds to the overall system. These results are important for the magnetic recording industry, which is trying to attain a 1 Tb/cm2 information storage goal. Williams, Doug, Committee Member ; Green, William, Committee Member ; Li, Geoffrey, Committee Member ; McLaughlin, Steve, Committee Member ; Barry, John, Committee Chair. Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2005. Vita. Includes bibliographical references.
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