R&D: Iterative Decoding of SOVA and LDPC Product Code for Bit-Patterned Media Recording

AIP Advances as published an article written by Seongkwon Jeong and Jaejin Lee, Soongsil University, Seoul 06978, Korea.

Block diagram of the proposed iterative SOVA
and LDPC product codes.

Abstract: “The demand for high-density storage systems has increased due to the exponential growth of data. Bit-patterned media recording (BPMR) is one of the promising technologies to achieve the density of 1Tbit/in² and higher. To increase the areal density in BPMR, the spacing between islands needs to be reduced, yet this aggravates inter-symbol interference and inter-track interference and degrades the bit error rate performance. In this paper, we propose a decision feedback scheme using low-density parity check (LDPC) product code for BPMR. This scheme can improve the decoding performance using an iterative approach with extrinsic information and log-likelihood ratio value between iterative soft output Viterbi algorithm and LDPC product code. Simulation results show that the proposed LDPC product code can offer 1.8dB and 2.3dB gains over the one LDPC code at the density of 2.5 and 3 Tb/in², respectively, when bit error rate is 10^-6.“