A signal-dependent autoregressive channel model

A signal-dependent autoregressive channel model

A fast and accurate channel model is presented that captures intersymbol interference, signal non-linearities and signal-dependent noise correlation. The noise is modeled as the output of a signal-dependent autoregressive filter. This channel model is well suited for detector designers who desire re...

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Veröffentlicht in:IEEE transactions on magnetics 1999-09, Vol.35 (5), p.2316-2318
Hauptverfasser: Kavcic, A., Patapoutian, A.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Computational modeling
Detectors
Electronics
Exact sciences and technology
Filters
Gaussian noise
Intersymbol interference
Magnetic devices
Other magnetic recording and storage devices (including tapes, disks, and drums)
Parametric statistics
Runtime
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
Signal processing
Statistical distributions
Stochastic resonance
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Beschreibung
Zusammenfassung:A fast and accurate channel model is presented that captures intersymbol interference, signal non-linearities and signal-dependent noise correlation. The noise is modeled as the output of a signal-dependent autoregressive filter. This channel model is well suited for detector designers who desire realistic simulators with short run-times.
ISSN:0018-9464
1941-0069
DOI:10.1109/20.800811