Adaptive dynamic double-threshold signal detection algorithm

Le Yang; Zhian Deng

doi:10.1117/12.2682559

26 May 2023 Adaptive dynamic double-threshold signal detection algorithm

Le Yang, Zhian Deng

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127002S (2023) https://doi.org/10.1117/12.2682559
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

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.

Citation Download Citation

Le Yang and Zhian Deng "Adaptive dynamic double-threshold signal detection algorithm", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127002S (26 May 2023); https://doi.org/10.1117/12.2682559

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