Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on an Aviation Transponder Pulse Signal Detection Method Based on a Dynamic Hyperparameter Update Mechanism

HONG Yunhai1, FAN Rong1,2

(1.Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Chengdu 641419, China; 2.Xizang Chengfengyuan Technology Co., Ltd., Lhasa 851400, China)

Section:Communication Engineering · Vol. 2026, Issue 8 · Pages:11-15,26 · 2096-4706(2026)08-0011-06 · CLC number:TN957.51 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.08.003

Abstract

To improve the accuracy of aviation transponder signal pulse detection, a detection method for aviation transponder pulse signals based on a dynamic hyperparameter update mechanism is proposed. This method determines the dynamic threshold of the received signal sequence by constructing a hyperparameter mapping table, which addresses the problems of pulse false alarms, missed detections, and large positioning deviations existing in current algorithms under low Signal-to-Noise Ratio (SNR) scenarios. Through computer simulations, comparative analyses are conducted from multiple dimensions, including the effectiveness of pulse marking false alarms and missed detections, the Root Mean Square Error (RMSE) of pulse estimation, and the computation time. The results of simulation experiments demonstrate that the proposed method not only enhances detection accuracy but also reduces time complexity. It outperforms existing comparative methods in both pulse detection accuracy and computational time complexity, showing significant engineering application value.

Keywords

Secondary Surveillance Radar (SSR); pulse position detection; aviation transponder signal; ADS-B; Constant False Alarm Rate Detector (CFAR)

References

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Funding

National Key Laboratory Open Fund Project (6142413204007006); Lhasa Science and Technology Plan Project (LSKJ202456); Sichuan Provincial Natural Science Foundation General Project (24NSFSC1673)

About the authors

Hong Yunhai (November 2000-), male, Han ethnicity, from Ganzhou, Jiangxi Province, is a master's student majoring in airborne aviation response signal separation technology; Fan Rong (July 1984-), male, Han ethnicity, from Langzhong, Sichuan, associate professor, doctoral student, research interests: aviation electronics, signal processing.