Pulse Compression Shape-Based ADC/DAC Chain Synchronization Measurement Algorithm with Sub-Sampling Resolution.

Area of Science:

• Electrical Engineering
• Signal Processing
• Instrumentation

Background:

• Synchronizing multiple analog-to-digital converter (ADC) and digital-to-analog converter (DAC) chains in multi-channel systems is challenging due to sampling frequency constraints and component inconsistencies.
• Accurate synchronization is critical for the performance of complex signal processing systems.

Purpose of the Study:

• To develop and validate a novel algorithm for measuring and compensating synchronization delays in ADC/DAC chains.
• To achieve synchronization with sub-sampling resolution, improving precision in multi-channel systems.

Main Methods:

• A pulse compression shape-based algorithm is proposed to measure the entire delay parameter of ADC/DAC chains.
• The algorithm maps the discrete pulse compression peak's shape to the signal propagation delay, enabling sub-sampling resolution.
• Matched filtering is employed within the pulse compression process for enhanced noise performance.

Main Results:

• The proposed algorithm accurately measures synchronization differences with sub-sampling resolution.
• The method demonstrates robust performance in scenarios with signal-to-noise ratios (SNR) greater than -10 dB.
• The algorithm is suitable for wireless communication scenarios due to its noise performance.

Conclusions:

• The pulse compression shape-based algorithm offers a precise and effective solution for synchronizing multi-channel ADC/DAC systems.
• This approach overcomes limitations of traditional synchronization methods, particularly in noisy or complex environments.
• The sub-sampling resolution achieved enhances the overall accuracy and reliability of multi-channel signal processing.