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Optimization Performance Analysis of 1090ES ADS-B Signal Separation Algorithm based on PCA and ICA

Volume 14, Number 4, April 2018, pp. 741-750
DOI: 10.23940/ijpe.18.04.p17.741750

Zhaoyue Zhang

College of Air Traffic Management, Civil Aviation University of China, Tianjin, 300300, China

(Submitted on January 15, 2018; Revised on February 18, 2018; Accepted on March 29, 2018)


In the transmission process of 1090ES ADS-B signal, it is easy to see the relationship between signal overlap and signal interference. The signal noise under interference easily causes the error of ADS-B signal decoding. In this paper, a 1090ES ADS-B signal separation algorithm based on PCA and FastICA is designed to achieve the separation of ADS-B signals and the separation of overlapped signals. Through simulation and verification, the 1090ES ADS-B signal separation algorithm based on PCA and ICA can realize the denoising and separation of ADS-B signal and reduce the computation and speed of separation. The signal reduction degree after separation is relatively high.


References: 13

    1. B. S. Ali, “System specifications for developing an Automatic Dependent Surveillance-Broadcast (ADS-B) monitoring system[J],” International Journal of Critical Infrastructure Protection, 2016, 15:40-46.
    2. S. Ao, L. Zhen, Z. Nan, et al, “Blind Source Separation Based on Principal Component Analysis-Independent Component Analysis for Acoustic Signal During Laser Welding Process[C] ,” International Conference on Digital Manufacturing & Automation. IEEE Computer Society, 2010:336-339.
    3. G. Galati, N. Petrochilos, E. G. Piracci, “Degarbling Mode S replies received in single channel stations with a digital incremental improvement[J],” Radar Sonar & Navigation Iet, 2015, 9(6):681-691.
    4. F. X. Gong, K. Wang, Y. Q. Ma, “An Algorithm to Separate 1090ES ADS-B Signals[J],” Advanced Materials Research, 2014, 875-877:2158-2163.
    5. H. Hotelling, “Analysis of a complex of statistical variables into principal components.[J],” British Journal of Educational Psychology, 1933, 24(6):417-520.
    6. A. Hyvarinen, J. Karhunen, “Independent Component Analysis[M],” New York, 2011.
    7. T. Langejan, E. Sunil, J. Ellerbroek, et al, “Effect of ADS-B Characteristics on Airborne Conflict Detection and Resolution[C],” Sesar Innovation Days. 2016.
    8. M. Leonardi, E. Piracci, G. Galati, “ADS-B vulnerability to low cost jammers: Risk assessment and possible solutions[C],” Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles. IEEE, 2014:41-46.
    9. K. Liu, T. Zhang, Y. Ding, “Blind Signal Separation Algorithm for Space-based ADS-B[C],” International Conference on Mechatronics Engineering and Information Technology. 2016.
    10. E. G. Piracci, G. Galati, N. Petrochilos, “1090 ES receiving capacity improvement using ADS-B ground receivers with signals discrimination capability[C],” Esavs 2010 16-18/03/. 2010.
    11. RTCA, “DO-260B: Minimum Operational Performance Standards for 1090 MHZ Extended Squitter Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Information Services Broadcast (TIS-B) [S] ,” 2013.
    12. H. Zayyani, M. Babaie-Zadeh, C. Jutten, “Source Estimation in Noisy Sparse Component Analysis[C],” International Conference on Digital Signal Processing. IEEE, 2007:219-222.
    13. W. Zhou, L. Jia, “A novel fast algorithm for blind signal separation[C],” Intelligent Control and Automation, 2002. Proceedings of the, World Congress on. IEEE, 2002:2007-2010 vol.3.


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