Multi-level decision feedback equalization (MDFE) is a sampled signal processing technique for data recovery from magnetic recording channels which use the 2/3(1,7) run length limited code. The key adaptive feedback loops in MDFE are those which perform the timing recovery, gain recovery, dc offset detection, and adaptive equalization of the feedback equalizer. The algorithms used by these adaptive loops are derived from the channel error which is the deviation of the equalized signal from its ideal value. It is advantageous to convert this error signal to a digital value using a flash analog-to-digital converter (flash ADC) to simplify the implementation of the adaptive loops.
In this thesis, a scheme to place the thresholds of the flash ADC is presented. The threshold placement has been optimized based on the steady-state probability density function (pdf) of the signal to be quantized. The resolution constraints imposed by this quantization scheme on the adaptive loops has been characterized. As the steady-state assumption for the signal to be quantized is not valid during the transient state of the adaptive loops, the loop transients with this quantization scheme have been analyzed through simulations. The conditions under which the channel can recover from a set of start-up errors and converge successfully into steady-state have been specified. The steady-state channel performance with the noise introduced by the iterative nature of the adaptive loops along with this quantization scheme has also been verified. / Graduation date: 1997
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/34169 |
| Date | 27 February 1997 |
| Creators | Parthasarathy, Priya |
| Contributors | Kenney, John G. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
Page generated in 0.0019 seconds