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Exploiting data compression to improve reliability of phase-modulated holographic data storage.

Qin Yu, Fei Wu, Meng Zhang

|October 20, 2023

Summary

This study introduces a novel method combining lossless data compression and low-density parity-check (LDPC) codes to enhance phase-modulated holographic data storage (PHDS). The approach significantly reduces bit error rates and decoding iterations, improving overall data reliability and storage efficiency.

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Area of Science:

Optical data storage
Information theory
Error correction coding

Background:

Holographic data storage faces reliability challenges due to complex noise and phase retrieval algorithm limitations, particularly with multi-level phase modulation.
Existing methods struggle to maintain data integrity in noisy holographic channels, impacting storage efficiency and accuracy.

Purpose of the Study:

To propose and validate a novel method for enhancing the data reliability and storage efficiency of phase-modulated holographic data storage (PHDS).
To address the limitations of current PHDS systems by integrating lossless data compression and low-density parity-check (LDPC) codes.

Main Methods:

Implementation of lossless data compression to eliminate redundancy and create space for additional error correction.
Application of low-density parity-check (LDPC) codes for effective error detection and correction within the holographic data stream.
Development of strategies for allocating compressed space to LDPC parity bits and managing free space, independent of reconstructed phase distribution characteristics.

Main Results:

Significant reduction in bit error rate (BER) by up to 87.8% under specific conditions (phase error rate 0.029, compression rate 0.6).
Substantial decrease in decoding iterations by 84.3%, leading to faster data retrieval.
Marked improvement in decoding success probability by 93%, confirming enhanced data integrity.

Conclusions:

The proposed method effectively enhances data reliability and storage efficiency in PHDS by synergistically combining data compression and LDPC coding.
This approach simplifies system implementation by not requiring detailed knowledge of reconstructed phase distribution characteristics.
The findings demonstrate a practical and efficient solution for overcoming reliability issues in advanced holographic data storage systems.