Skew angle estimation and alleviation based multi-layer perceptron in V-shaped read-head array BPMR systems

Abstract

The demand for a massive storage device has kept rising and it has led to the emergence of advanced technology with a vast storage capacity. Achieving this idea might bring some obstacles called two-dimensional interference as well as a skew angle (SA). Array-reader-based magnetic recording can be the potential to give a better performance in the system by reading multiple tracks simultaneously. This paper investigates a V-shaped read-head array (VRA) with three read sensors performance on five levels of skew angle consideration in three different zones of hard disk drive. VRA with three read sensors is being grouped; therefore, SA can be considered as the change in this group movement. To achieve a good system performance, we propose an SA estimation method for bit-patterned media recording systems by computing a specific target by three readback sequences before estimating the SA value and finally detecting the data. Both estimation and detection processes are carried out using a neural network method known as multilayer perceptron.

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“…Multi layer perceptron [21] (MLP) is a feedforward neural network that includes an input layer, a hidden layer, and an output layer, which are used to receive input data, process data, and perform final predictions, respectively. It employs the backpropagation technique for network training.…”