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Related Concept Videos

Upsampling01:22

Upsampling

236
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
236

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Optimization of under-sampling phase detection accuracy in phase laser ranging.

Yingling Pan, Rongyi Ji, Ziqi Xie

    Applied Optics
    |March 4, 2024
    PubMed
    Summary

    Under-sampling in phase laser ranging simplifies circuits. New selection criteria improve accuracy by optimizing sampling parameters, enhancing phase detection without complex algorithms.

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    Area of Science:

    • Optics and Photonics
    • Signal Processing

    Background:

    • Under-sampling reduces complexity in phase laser ranging systems.
    • Maintaining high modulated frequencies is crucial for accurate ranging.

    Purpose of the Study:

    • To propose novel selection criteria for under-sampling parameters to enhance phase laser ranging accuracy.
    • To optimize signal frequency, sampling frequency, and calculation points for improved performance.

    Main Methods:

    • Investigated integral periodic sampling by setting sampling points to integer powers of 2 (2^n, n=2-6).
    • Explored non-integral periodic sampling using leveraged calculated periods and phase averaging.
    • Verified criteria through mathematical derivation and computer simulations.

    Main Results:

    • Optimized integral periodic sampling accuracy with integer power-of-2 sampling points.
    • Enhanced non-integral periodic sampling accuracy via leveraged periods and phase averaging.
    • Demonstrated significant improvement in phase detection accuracy in the under-sampling ranging system.

    Conclusions:

    • The proposed selection criteria effectively improve phase detection accuracy in under-sampling laser ranging.
    • Accuracy enhancements are achieved without requiring pre-processing or algorithmic modifications.
    • The criteria offer a practical method for optimizing under-sampling strategies in ranging applications.