Title :
Low complexity signal space detection for MTR coded channels
Author :
Brickner, Barrett ; Moon, Jaekyun
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
fDate :
1/1/1998 12:00:00 AM
Abstract :
Two new signal space detectors designed to take advantage of maximum transition run (MTR) coded modulation are presented. These detectors are designed to perform across a wide range of densities and offer lower error rates than a 3D-110 detector at low densities while requiring only modest increases in complexity. The first scheme, 2D-121α employs an equalization constraint that reduces low density noise correlation relative to the 3D-110 target. The second uses a 3D-110 detector but includes a linear noise predictive filter to reduce the effective noise between the minimum distance sequences. Analysis and simulation results indicate that the two detectors perform equally well in terms of bit error rate
Keywords :
coding errors; equalisers; error statistics; linear predictive coding; magnetic recording noise; modulation coding; signal detection; 2D-121α; 3D-110 detector; 3D-110 target; MTR coded channels; bit error rate; effective noise reduction; equalization constraint; error probability; error rates; linear noise predictive filter; low complexity signal space detection; low density noise correlation; magnetic recording detector design; maximum transition run coded modulation; minimum distance sequences; simulation results; Analytical models; Bit error rate; Detectors; Error analysis; Modulation coding; Noise reduction; Nonlinear filters; Performance analysis; Signal design; Signal detection;
Journal_Title :
Magnetics, IEEE Transactions on