Design of Soft Viterbi Algorithm Decoder Enhanced With Non-Transmittable Codewords for Storage Media

TL;DR

This paper introduces a novel Soft Viterbi Algorithm decoder with Non-transmittable Codewords tailored for storage media, demonstrating significant error reduction in simulations compared to traditional Reed Solomon methods.

Contribution

The study designs and evaluates a new SVAD-NTCs decoder for storage media, showing improved error correction performance over existing algorithms.

Findings

Residual error reduced from 216,878 to 23,900

Performance improves with more NTCs up to 6, then plateaus

Simulation confirms effectiveness in noisy storage environments

Abstract

Viterbi Algorithm Decoder Enhanced with Non-transmittable Codewords is one of the best decoding algorithm which effectively improves forward error correction performance. HoweverViterbi decoder enhanced with NTCs is not yet designed to work in storage media devices. Currently Reed Solomon (RS) Algorithm is almost the dominant algorithm used in correcting error in storage media. Conversely, recent studies show that there still exist low reliability of data in storage media while the demand for storage media increases drastically. This study proposes a design of the Soft Viterbi Algorithm decoder enhanced with Non-transmittable Codewords (SVAD-NTCs) to be used in storage media for error correction. Matlab simulation was used in this design in order to investigate behavior and effectiveness of SVAD-NTCs in correcting errors in data retrieving from storage media.Sample data of one million bits are randomly generated, Additive White Gaussian Noise (AWGN) was used as data distortion model and Binary Phase- Shift Keying (BPSK) was applied for simulation modulation. Results show that,behaviors of SVAD-NTC performance increase as you increase the NTCs, but beyond 6NTCs there is no significant change and SVAD-NTCs design drastically reduce the total residual error from 216,878 of Reed Solomon to 23,900.