A Study on Accelerating SP decoding by Neural Network in SMR System

We have previously studied low-density parity-check (LDPC) coding and iterative decoding in shingled magnetic recording (SMR) system as a signal processing method to realize ultra-high-density hard disk drive (HDD). In addition, we have proposed the application of the neural network to improve decoding performance and realize the automation of iterative decoding. In this study, we apply a neural network to accelerate iterative decoding in the sum-product (SP) decoder. As the result, the SP decoder with the neural network realized "no errors" at the fewest times of the iterative decoding compared to our previous studies.