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 the shingled magnetic recording (SMR) system as a signal processing method to realize ultrahigh-density hard disk drives (HDD). In addition, we have proposed the application of the neural network (NN) to improve decoding performance and realize the automation of iterative decoding. In this study, we apply an NN to accelerate iterative decoding in the sum-product (SP) decoder. As the result, the SP decoder with the NN realized “no errors” at the fewest times of the iterative decoding compared to our previous studies.