Multi-task neural network and multi-track detection method based on polarity transition soft information

Abstract

The present invention is aimed at a heat-assisted alternating magnetic recording system, and relates to a multi-task neural network and multi-track detection algorithm based on polarity transition soft information assistance. The main steps are as follows: in the first iteration process, the The readback signal is input into the multi-task neural network to obtain the equalized signal and bit soft information of the three tracks, which are input to the improved BCJR detector and LDPC decoder. Here, the soft information is exchanged between the BCJR detector and the LDPC decoder. Information constitutes a turbo equilibrium. In the second iteration process, the log likelihood ratio output by the LDPC decoder is converted into two-dimensional polarity transition soft information and input into the multi-task neural network together with the readback signals of the three tracks to obtain an updated equalized signal And bit soft information, and then send it to the improved BCJR detector and LDPC decoder to get the bit error rate of the magnetic recording system.

Description

technical field [0001] The invention relates to the technical field of signal processing in a heat-assisted alternating magnetic recording system, in particular to a multi-task neural network and multi-track detection method based on polarity transition soft information assistance. Background technique [0002] The mainstream magnetic recording technology currently used in the market is mainly based on perpendicular magnetic recording technology. "Limits further increases in its storage density. In order to further increase the storage density, the corresponding bit size needs to be reduced, and the particle volume of the magnetic recording medium also needs to be reduced to maintain a sufficient signal-to-noise ratio. But on the other hand, in order to ensure the thermal stability of magnetic recording medium particles, it is necessary to significantly increase their anisotropy, which poses a serious challenge to the write magnetic field that can be generated by the curren...

AI Technical Summary

Problems solved by technology

However, the current research on heat-assisted alternating magnetic recording systems mainly focuses on the design of new read-write systems and the optimization of read-write performance, and there are few corresponding researches and reports on signal processing algorithms.

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