Research on high-performance, real-time periodic signal detection method based on field-programmable gate arrays...

Area of Science:

• Digital Signal Processing
• Electronic Engineering

Background:

• Long-Time Coherent Integration (LTCI) improves signal-to-noise ratio (SNR) by accumulating multiple coherent cycles.
• Previous single-bit LTCI methods, while FPGA-optimized, suffered from output saturation and limited SNR gain (SNRG).

Purpose of the Study:

• To enhance the performance of single-bit LTCI in high-SNR environments.
• To overcome limitations of previous LTCI methods for broader applicability.

Main Methods:

• Implemented a threshold tracking method to manage high-SNR scenarios.
• Introduced a sampling rate enhancement technique for improved SNR.
• Applied a Kalman filtering method to further reduce noise.
• Validated methods using an FPGA-based prototype.

Main Results:

• The threshold tracking method extended the measurable input SNR range to 30.
• Sampling rate enhancement achieved a 30% SNR improvement over the original method.
• Kalman filtering reduced noise levels to 60% of their original values.

Conclusions:

• The developed methods significantly improve single-bit LTCI performance, particularly in high-SNR conditions.
• These advancements enable LTCI for applications previously limited by SNR constraints.
• The FPGA prototype confirms the practical effectiveness of the proposed enhancements.