Adaptive dynamic double-threshold signal detection algorithm
L. Yang, Zhian Deng · 2023
With the increasing complexity of the electromagnetic environment of electronic countermeasures, the detection of radar pulse signals under low signal-to-noise ratio is becoming more and more demanding. Based on this detection performance requirement, an adaptive dynamic double-threshold signal detection algorithm is proposed based on the digital channelization and autocorrelation algorithms. The high threshold is used to detect signals with higher signal-to-noise ratios, ensuring better real-time signal detection. The low threshold is used to detect possible low signal-to-noise signals, ensuring better detection of weak signals. Simulation experiments are carried out on the algorithm, and the results show that the algorithm can effectively improve the real-time and weak signal detection ability of signal detection.