Research on a method of high precision frequency measurement based on coordinate rotation digital computer algorithm...

Area of Science:

• Electrical Engineering
• Signal Processing
• Data Acquisition Technology

Background:

• High-precision frequency measurement of broadband signals presents challenges in data processing and accuracy.
• Existing algorithms often rely on error-free data, which is impractical in real-world applications.

Purpose of the Study:

• To develop a robust frequency measurement method that simplifies calculations and minimizes the impact of measurement errors.
• To enable accurate measurement of broadband signals, including multi-channel parallel signals, under realistic conditions.

Main Methods:

• Utilized a combination of Coordinate Rotation Digital Computer (CORDIC) algorithm, differential algorithm, and Kalman filter.
• Applied the integrated algorithm to frequency measurement processes for broadband signals satisfying the sampling theorem.

Main Results:

• Demonstrated strong data processing capabilities and stable measurements through simulations and hardware experiments.
• Achieved significant reduction in measurement errors, with the Kalman filter reducing errors to the percentile level and combined algorithms to below the thousandth.
• Validated the method's ability to meet the accuracy demands of most instruments for precise frequency measurement.

Conclusions:

• The proposed frequency measurement method offers a simplified and accurate solution for broadband signal analysis.
• The integration of CORDIC, differential, and Kalman filter algorithms effectively mitigates measurement errors, enhancing data acquisition precision.
• This technique is suitable for a wide range of applications requiring high-accuracy frequency measurement of complex signals.