A. Ajay Kumar, Prof. S. Varadarajan

DOI: https://doi.org/10.5281/zenodo.23672311

Continuous monitoring of aircraft flight data is vital for proactive aviation safety, air traffic management, and predictive maintenance. Traditional Flight Data Recorders (FDR) store parameters on-board, limiting data accessibility to post-flight or post-accident investigations. This paper presents the development of an interactive Ground Monitoring Console (GMC) and telemetry analytics framework tailored for general aviation flight operations. Utilizing the high-fidelity CAFUC2 multi-model aviation benchmark dataset collected from Cessna 172R aircraft sorties, we process and validate multi-parameter telemetry streams including altitude (Mean = 3,800.4 ft, Std = 1,312.6 ft), vertical speed climb/descent distributions (3,129 climb vs 3,418 descent samples), pitch/roll attitudes (Mean = 2.55° and 1.35°), engine speed (Mean = 1,930.2 RPM, Std = 223.4 RPM), fuel flow (Mean = 8.23 GPH), and 2D GPS spatial navigation trajectories. A multi-panel software console is designed to integrate live spectrum monitoring, Quadrature Phase Shift Keying (QPSK) constellation diagnostics (achieving 9.96% Error Vector Magnitude at 20 dB SNR), carrier signal quality indicators, and flight status displays. The framework provides ground controllers and flight safety officers with enhanced situational awareness and early warning capabilities without imposing heavy computational overhead. This foundational system establishes the baseline telemetry visualization architecture for future high-frequency RF front-ends.

Flight Data Monitoring, Telemetry Analytics, Ground Monitoring Console (GMC), General Aviation, CAFUC2 Dataset, Situational Awareness, QPSK Telemetry.

This paper presented the design, implementation, and empirical validation of an interactive Ground Monitoring Console and flight telemetry analytics framework for general aviation operations. By leveraging the authentic CAFUC2 aviation benchmark dataset, we demonstrated robust extraction and multi-panel visualization of vital aerodynamic, powerplant, and navigational flight parameters across a full Cessna 172R sortie. Baseline communication link tests verified reliable QPSK telemetry reception with 9.96% EVM at 20 dB SNR and robust frame synchronization. The proposed system significantly enhances ground-level situational awareness and provides an accessible, cost-effective monitoring platform for light aircraft operations.

[1] NASA, "Ground data systems and mission operations," NASA Small Satellite Institute, Tech. Rep. SOA-2026, 2026.
[2] J. Lu, Y. Fang, Z. Huang, Y. Zhang, S. Fan, and X. Wu, "CAFUC2: A high-fidelity multi-model benchmark dataset for general aviation anomaly detection generated via physics-based fault injection," Zenodo Dataset, doi: 10.5281/zenodo.19124264, 2026.
[3] Y. Zhang, Q. Xi, J. Wang, and S. Gu, "Architecture and algorithm design for civil aviation data real-time analysis system," IEEE Access, vol. 12, pp. 66382–66397, 2024, doi: 10.1109/ACCESS.2024.3388194.
[4] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York, NY, USA: McGraw-Hill, 2008.
[5] Federal Aviation Administration (FAA), "Flight Data Monitoring Program," FAA Advisory Circular AC 120-82, 2020.
[6] International Civil Aviation Organization (ICAO), "Manual on Flight Data Analysis Programs (FDAP)," ICAO Doc 10000, 2021.
[7] F. M. Gardner, "A BPSK/QPSK timing-error detector for sampled receivers," IEEE Transactions on Communications, vol. 34, no. 5, pp. 423–429, 1986.
[8] J. P. Costas, "Synchronous communications," Proceedings of the IRE, vol. 44, no. 12, pp. 1713–1718, 1956.
[9] Indian Institute of Space Science and Technology (IIST), "Satellite Ground Station Architecture and Telemetry Systems," IIST Tech. Manual, 2026.
[10] S. Daumont, B. Rihawi, and Y. Louët, "Root-raised cosine filter influences on PAPR distribution of single carrier signals," in Proc. 3rd Int. Symp. Commun., Control Signal Process. (ISCCSP), 2008, pp. 841–845.

A. Ajay Kumar, Prof. S. Varadarajan (2026). Development of an Interactive Ground Monitoring Console and Telemetry Analytics Framework for General Aviation Flight Operations. International Journal of Engineering and Techniques, 12(5), 383–387. ISSN: 2395-1303. DOI: https://doi.org/10.5281/zenodo.23672311