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    Area of Science:

    • Electrical Engineering
    • Signal Processing
    • Data Acquisition

    Background:

    • Analog-to-digital converters (ADCs) are crucial for signal processing.
    • Heterodyne signals in ADCs can suffer from random phase differences between adjacent samples.
    • This phase difference complicates coherent accumulation, reducing signal strength.

    Purpose of the Study:

    • To propose a novel method for eliminating random phases in ADC heterodyne signal coherent accumulation.
    • To enhance the signal strength of heterodyne signals processed by ADCs.
    • To offer an easily implementable solution compared to existing technologies.

    Main Methods:

    • A technique involving shifting sampling sequences with different steps was developed.
    • A genetic algorithm was employed to optimize the shifting steps for sequence alignment.
    • Experimental verification was conducted to validate the proposed method's effectiveness.

    Main Results:

    • The proposed method significantly increased the strength of the heterodyne signal.
    • Comparison with random phase accumulation demonstrated a substantial improvement in signal power.
    • The approach proved effective in mitigating phase differences inherent in ADC sampling.

    Conclusions:

    • The developed method effectively eliminates random phases in heterodyne signal accumulation for ADCs.
    • This technique offers a practical and implementable solution for enhancing signal strength.
    • The use of a genetic algorithm provides an optimized approach to sequence shifting for improved signal acquisition.