High-Resolution Group Quantization Phase Processing Method in Radio Frequency Measurement Range.

Area of Science:

• Electrical Engineering
• Metrology
• Signal Processing

Background:

• Traditional phase processing methods face limitations in frequency translation complexity, response time, and measurement precision.
• Existing techniques struggle with high-resolution radio frequency (RF) measurements, particularly concerning phase noise and frequency drift.

Purpose of the Study:

• To propose a novel high-resolution phase processing method for RF measurements exceeding 100 fs resolution.
• To overcome the limitations of traditional methods in terms of precision, response time, and complex frequency translation.

Main Methods:

• Phase quantization is employed as a step value to quantize phase differences within groups, leveraging fixed phase relationships between different frequencies.
• Group quantization results are utilized, and a regular phase shift is introduced to compensate for frequency drift caused by phase noise.
• A subtle delay is applied to reduce the coincidence fuzzy area width, enhancing coincidence pulse characteristics.
• Logic gates capture feature coincidence pulses to obtain optimal phase coincidence information.

Main Results:

• Achieved high-resolution phase processing with precision beyond the 100 fs level.
• Successfully compensated for frequency drift and phase noise effects.
• Improved measurement precision through optimized coincidence pulse detection.

Conclusions:

• The proposed group quantization method offers a significant advancement in high-resolution time and frequency measurement.
• This novel approach provides a more precise and efficient alternative to traditional phase processing techniques in RF measurements.