Title :
Modeling and simulation of advanced read channels
Author :
Nair, Sapthotharan K. ; Shafiee, Hamid ; Moon, Jaekyun
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
fDate :
11/1/1993 12:00:00 AM
Abstract :
As the density in digital magnetic recording is increased, various linear as well as nonlinear signal distortions affect the performance of detection algorithms. These include transition noise and electronics noise. The objective of this work is to evaluate the performances of several detection techniques at different linear densities, noise environments, and channel mismatch conditions using Monte Carlo simulation. The algorithms considered are the conventional peak detection, various maximum likelihood sequence detection methods and decision feedback type techniques
Keywords :
Monte Carlo methods; electric distortion; error detection codes; magnetic recording; maximum likelihood estimation; noise; signal detection; Monte Carlo simulation; advanced read channel simulation; bit error rate; channel mismatch conditions; computer simulation; decision feedback type techniques; detection algorithms; digital magnetic recording density; electronics noise; linear signal distortion; maximum likelihood sequence detection methods; modelling; nonlinear signal distortions; peak detection; transition noise; AWGN; Additive white noise; Computer errors; Decision feedback equalizers; Delay; Detectors; Gaussian noise; Magnetic noise; Maximum likelihood detection; Working environment noise;
Journal_Title :
Magnetics, IEEE Transactions on