Hardware implementation of pixel detection in gray-scale holographic data storage systems

Area of Science:

• Digital image processing
• Holographic data storage systems
• Hardware implementation

Background:

• Interpixel interference degrades image quality in holographic data storage.
• Efficient recovery of gray-scale image data is crucial for reliable storage.

Purpose of the Study:

• To present a hardware implementation of an efficient solution for recovering gray-scale data pixels affected by interpixel interference.
• To demonstrate the feasibility and functionality of the TRIDL detection algorithm in a practical hardware setting.

Main Methods:

• Adoption of the turbo receiver using interference-aware dual-list (TRIDL) detection algorithm.
• Hardware implementation of the TRIDL detection on a field-programmable gate array (FPGA).
• Application of circuit design techniques, including resource sharing, for efficient implementation.

Main Results:

• Successful hardware implementation of the TRIDL detection algorithm.
• Demonstration of low error rate performance.
• Verification of low complexity in the implemented solution.

Conclusions:

• The hardware implementation of TRIDL detection is an efficient solution for mitigating interpixel interference in holographic data storage.
• The TRIDL algorithm provides a practical approach for enhancing the reliability of holographic data storage systems through its low error rate and complexity.