Coding and Iterative Detection for Magnetic Recording Channels
This book is a useful tool for researchers in both academia and industry who are interested in improving the performances of magnetic recording systems using new coding schemes.
Coding and Iterative Detection for Magnetic Recording Channels proposes several new approaches for enhancing the performance of magnetic recording systems by coding and interpolated timing recovery. It provides a tutorial introduction to turbo codes, LDPC codes and their iterative detection schemes. The main emphasis, however, is placed on the simplification of the detector structures for the implementation of various codes.
Chapter 1 introduces the model for magnetic recording channels and the challenges to the read channel detector designs. Chapter 2 discusses the turbo codes and the turbo equalization structure for ISI channels. Chapter 3 summarizes the major concepts of LDPC codes and their iterative detection algorithms based on belief propagation. Chapter 4 introduces the Decision Aid Equalization (DAE) structure to simplify iterative detection for ISI channels. Chapter 6 proposes an interpolated timing recovery scheme that facilitates symbol timing recovery by its `re-sampling' capability. The combination of the above-mentioned chapters leads to a new structure for implementing iterative detection on recording channels. Chapter 5 deviates from iterative detection to propose a simple code, the Interleaved Parity Check (IPC) code, and its reduced-complexity decoder, which is considered practical for implementation with currently available integrated circuit technology. Chapter 7 summarizes the book with a discussion on future research topics in this field.
Coding and Iterative Detection for Magnetic Recording Channels is a valuable reference for researchers and design engineers working on signal processing and coding for magnetic recording channels. It may also be used as a graduate text for courses on turbo codes.
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AWGN BCJR algorithm belief propagation binary bit error rate bit node block length calculate channel APP detection channel response Chapter check node Cioffi code rate coding gain constituent codes constituent encoders convolutional codes decoding algorithm disk error-events extrinsic information factor graph finite input memory full-BCJR Hamming weight implementation input symbols Interleaved Parity Check interpolated timing recovery interpolation filter intersymbol interference IPC codes ISI channel iterative decoding iterative detection LDPC codes log domain MacKay magnetic recording channels Markov source maximum likelihood MEEPR4 channel memoryless MLSD P(xk parity bits Parity Check code parity-check matrix performance phase-error post-processor PRML random interleaver read channel detector read signal recursive sampling phase search depth sequence shown in Figure simplified serial concatenation simulation results soft-DAE sum-product sum-product algorithm trellis turbo codes turbo decoding turbo equalization structure Turbo-DAE user bits VCO-based Viterbi algorithm Viterbi detector white Gaussian noise