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Digitization method for a photonic analog-to-digital converter with phase-shifted optical quantization
Optics Letters
|March 1, 2024
Summary
A new matrix digitization method enhances photonic analog-to-digital converters (PSOQ-ADCs). This approach successfully digitizes RF signals, producing valid 5-bit codes and outperforming traditional methods, especially in low signal-to-noise conditions.
Area of Science:
- Photonics
- Electrical Engineering
- Signal Processing
Background:
- Photonic analog-to-digital converters (ADCs) are crucial for high-speed signal processing.
- Traditional direct digitization methods face challenges with excessive bit width and invalid code generation.
- Phase-shifted optical quantization (PSOQ-ADC) offers potential for improved performance.
Purpose of the Study:
- To introduce a novel matrix digitization method for PSOQ-ADCs.
- To address limitations of existing direct digitization techniques.
- To demonstrate the effectiveness of the proposed method in digitizing radio frequency (RF) signals.
Main Methods:
- Development and implementation of a matrix digitization technique for PSOQ-ADCs.
- Fabrication of a PSOQ-ADC on a lithium niobate on insulator (LNOI) platform.
- Experimental setup to digitize RF signals using a 50 GS/s optical pulse train.
Main Results:
- Successful digitization of 1/2/5 GHz RF signals using the matrix digitization method, yielding 5-bit codes without invalid outputs.
- The matrix digitization method produced fewer invalid codes compared to the direct digitization method, even at lower optical signal-to-noise ratios (OSNR).
- The effective number of bits (ENOB) for the matrix digitization method surpassed that of the direct digitization method, even with error correction.
Conclusions:
- The proposed matrix digitization method is a viable and superior alternative for PSOQ-ADCs.
- This method effectively overcomes the limitations of traditional direct digitization, offering higher accuracy and reliability.
- The LNOI-based PSOQ-ADC with matrix digitization shows promise for advanced high-speed signal processing applications.

