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Parallel detection algorithm for page-oriented optical memories.

B M King, M A Neifeld

    Applied Optics
    |February 21, 2008
    PubMed
    Summary
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    A new parallel algorithm, pseudodecision-feedback equalization (PDFE), reliably detects 2D binary data in page-oriented memories. PDFE outperforms conventional methods by mitigating optical system imperfections and noise.

    Area of Science:

    • Optical Engineering
    • Signal Processing
    • Computer Engineering

    Background:

    • Reliable detection of 2D binary data in page-oriented memories is crucial for data storage and retrieval.
    • Conventional methods struggle with space-variant blur, thermal noise, and fixed-pattern errors like magnification and rotation.

    Purpose of the Study:

    • To develop a novel parallel algorithm for robust 2D binary data detection.
    • To mitigate optical system imperfections and enhance detection accuracy in page-oriented memory systems.

    Main Methods:

    • Development of a pseudodecision-feedback equalization (PDFE) algorithm, inspired by classical decision-feedback equalization.
    • Utilizing estimated optical system characteristics to correct for space-variant blur and additive thermal noise.
    • Extending the PDFE method to correct for fixed-pattern errors (magnification, rotation, transverse shift).

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    Main Results:

    • The PDFE algorithm demonstrates parallel design, low computational complexity, and local connectivity.
    • System-capacity metric comparisons show PDFE outperforms simple threshold, 1:2 modulation code, and Wiener filter.
    • PDFE achieves superior performance in both incoherent and coherent optical systems across various channels.

    Conclusions:

    • The proposed PDFE algorithm offers a reliable and efficient solution for 2D binary data detection in page-oriented memories.
    • PDFE effectively mitigates various optical system impairments, leading to improved detection accuracy.
    • A MOSIS 2-mum design implementation is presented, highlighting practical applicability.