Coding and Iterative Detection for Magnetic Recording by Zining Wu

By Zining Wu

The creation of the web age has produced huge, immense call for for in­ creased garage skill and for the ensuing raises within the quantity of data that may be kept in a small house. whereas actual and media advancements have pushed nearly all of development in sleek garage structures, sign processing and coding equipment have expanding­ ly been used to enhance these advancements. Run-length-limited codes and partial-response detection tools have end up the norm in an that after rejected any sophistication within the learn or write seasoned­ cessing circuits. VLSI advances now permit more and more subtle sign processing tools for negligible expense and complexity, a pattern absolute to proceed at the same time disk entry speeds development to billions of bits in keeping with moment and terabits in line with sq. inch within the new millennium of the in­ formation age. This new ebook representing the Ph. D. dissertation paintings of Stanford's contemporary graduate Dr. Zining Wu is an updated and fo­ cused overview of the world that are meant to be of worth to these simply beginning during this sector and to boot people with enormous services. using saturation recording, i. e. the mandated restrict of two-level inputs, creates fascinating twists at the use of communica­ tion/transmission tools in recording.

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Additional resources for Coding and Iterative Detection for Magnetic Recording Channels

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Each decoder, after taking the code constraint into account, acquires some additional information about the user bits on top of the a priori information, which is usually called the "extrinsic information". Since the extrinsic information from one decoder is not related to other code constraint, it can be passed to other decoders as the a priori information to improve subsequent MAP detections. This process is iterated many times to improve the decoding reliability, and bit decisions are made in the final iteration.

State-of-art Viterbi detectors used for magnetic recording channels can take 16 channel states. Therefore, the target response can span up to 5 taps. The Viterbi detector is sometimes followed by a post-processor/decoder to decode the channel codes such as the turbo codes in Chapter 2, the low-density parity-check codes in Chapter 3, and the Interleaved Parity Check (IPC) codes in Chapter 5. Simplications to the decoders for various codes appear in Chapter 4 and Chapter 5. Finally, a RLL decoder is used to remove the RLL redundancy inserted to help timing recovery.

13: Performance of a rate 8/9 turbo codes on MEEPR4 channel. 5 dB SNR gain at BER = 10- 5 over the uncoded system with MLSD. The simplified serial concatenation scheme, without pre-coding, performs about 2 dB worse than the full turbo equalization structure at BER = 10- 5 . 13 also plots the bit error rate of a decoder (with two constituent encoders concatenated in parallel) where the channel APP detection is performed only for the first iteration, then the two BCJR decoders for the constituent codes iterate between themselves, without interacting with the channel detection unit any more.

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