Two-Step High Precision Burst Pulse Detection in Low SNR Based on FPGA

To address the issue of unsatisfactory burst signal detection and insufficient time-of-arrival estimation accuracy in low SNR environments in modern digital signal receivers, this paper investigates a two-step high precision real-time signal detection method. The first step involves using the Short-Time Fourier Transform and Constant False Alarm Rate detection in the frequency domain to improve the detection of weak signals, and obtain the existence and rough position of signals. By using time-domain autocorrelation detection based on the detection results, the TOA of the signal is accurately estimated. The method is then implemented on the FPGA platform and verified in an actual environment, demonstrating practical value for engineering.