Apparatus for providing dynamic equalizer optimization

Abstract

An apparatus for providing dynamic equalizer optimization is disclosed. The present invention solves this by providing an equalizer coefficient update that converges towards the same solution as the direct method without having to first write a known pattern to the disc or requiring any prior knowledge of the data already written on the disc above question. Adaptive cosine functions can be used to modify only the DFIR tap settings, only the j and k parameters of the cosine equalizer, or both the tap settings of the DFIR filter and the j and k parameters of the cosine equalizer. Other algorithms, such as the LMS algorithm, can be used to modify parameters not modified by the cosine algorithm.

Description

technical field [0001] The present disclosure relates generally to data signal detection in a data channel, and more particularly to an apparatus for providing dynamic equalizer optimization. Background technique [0002] As computer hardware and software technology continues to advance, the demand for larger and faster mass storage devices for storing computer software and data continues to increase. Electronic databases and computer applications such as multimedia applications require large amounts of disk storage space. [0003] Manufacturers of mass storage devices are striving to manufacture high-speed hard disk drives with large data capacities at increasingly lower costs. A high-speed hard drive is one that can store and retrieve data quickly. One aspect of increasing the speed and capacity of disk drives is increasing or increasing areal density. Areal density can be increased by improving the methods of storing and retrieving data. [0004] Typically, mass stora...

AI Technical Summary

Problems solved by technology

However, the convergence rate of the LMS equalizer is relatively slow and will consume bandwidth for the training sequence

Also, the LMS solution does not converge to the same solution as the direct method

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