MODELING AND SIMULATION OF ADVANCED READ CHANNELS

As the density in digital magnetic recording is increased, various lin ear as well as nonlinear signal distortions affect the performance of detection algorithms. These include transition noise and electronics n oise. The objective of this work is to evaluate the performances of se veral detection techniques at different linear densities, noise enviro nments and channel mismatch conditions using Monte Carlo simulation. T he algorithms considered are the conventional peak detection, various maximum likelihood sequence detection methods and decision feedback ty pe techniques.