Performance estimation for maximum-likelihood detection for channels with transition noise

Performance estimation for maximum-likelihood detection for channels with transition noise

Transition noise is known to be a major cause of errors for high density magnetic recording. This noise is signal dependent and can be modeled as multiplicative noise in a linear channel model. A maximum-likelihood algorithm was considered for detection of signals in such noise. In this work, the pe...

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Veröffentlicht in:IEEE transactions on magnetics 1998-05, Vol.34 (3), p.754-762
Hauptverfasser: Miaolin Chen, Trachtenberg, E.A.
Format: Artikel
Sprache:eng
Schlagworte:
Additive noise
Applied sciences
Detectors
Electronics
Estimation error
Exact sciences and technology
Magnetic devices
Magnetic noise
Magnetic recording
Maximum likelihood detection
Maximum likelihood estimation
Other magnetic recording and storage devices (including tapes, disks, and drums)
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Signal detection
Signal to noise ratio
Viterbi algorithm
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Zusammenfassung:Transition noise is known to be a major cause of errors for high density magnetic recording. This noise is signal dependent and can be modeled as multiplicative noise in a linear channel model. A maximum-likelihood algorithm was considered for detection of signals in such noise. In this work, the performance of the detector, based on this algorithm, is compared to the traditional Viterbi algorithm (VA) and a modified Viterbi algorithm (MVA) by computer simulations. Results show an improvement of up to 5 dB In signal-to-noise-ratio (SNR) under typical conditions with a reasonable complexity.
ISSN:0018-9464
1941-0069
DOI:10.1109/20.668082