Direction estimation and tracking of rapidly moving RF emitters

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Authors

  • Le Van Bao Institute of Missile, Academy of Military Science and Technology
  • Nguyen Quang Vinh (Corresponding Author) Institute of Missile, Academy of Military Science and Technology
  • Pham Cong Tu Institute of Missile, Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.107.2025.3-12

Keywords:

Circularly polarized microstrip antenna; MUSIC algorithm; ESPRIT algorithm; DOA; SDR; Kalman filter.

Abstract

Accurately localizing dynamic targets in complex and rapidly changing environments, such as unmanned aerial vehicles (UAVs), mobile platforms, or unstable moving objects-poses significant challenges in both civilian and military applications. This paper proposes an approach that integrates software-defined radio (SDR) technology with circularly polarized microstrip antennas to enhance localization performance under harsh conditions, including weak signals, multipath propagation, and disturbances caused by rapid motion. A simulation model is developed, and experimental analyses are conducted using an improved MUSIC algorithm for direction-of-arrival (DOA) estimation, combined with a second-order filtering technique. The results demonstrate a strong correlation between the simulated data and practical measurements, confirming the effectiveness of the proposed method.

References

[1]. Zekavat, R., and R. M. Buehrer, “Handbook of Position Location: Theory, Practice and Advances”. Wiley, (2005). ISBN 9780471656403.

[2]. Ali, H. A. H., and S. Seytnazarov, “Human walking direction detection using wireless signals, machine and deep learning algorithms,” Sensors, Vol. 23, No. 24, (2023). https://doi.org/10.3390/s23249647 DOI: https://doi.org/10.3390/s23249726

[3]. Cahl, C. B., S. A. Hausman, and R. M. Headrick, “Comparison of Beamscan, Beamforming, and MUSIC Algorithms for HF Radar Direction Finding”. NOAA Technical Memorandum OAR-PMEL-164, (2023). https://repository.library.noaa.gov/view/noaa/60117

[4]. Khumane, D., and S. Jagade, “Performance Evaluation of DOA Estimation Using MUSIC Algorithm and LMS Beamforming Algorithm,” International Journal of Engineering Research & Technology (IJERT), Vol. 8, No. 9, pp. 1–5, (2019). https://www.ijert.org/performance-evaluation-of-doa-estimation-using-music-algorithm-and-lms-beamforming-algorithm

[5]. Vocal Technologies Ltd., “Adaptive Beamforming Using MUSIC Pseudo-Spectrum,” Vocal.com, (2018). https://vocal.com/beamforming-2/adaptive-beamforming-using-music-pseudo-spectrum

[6]. Huang, H., S. Salous, and J. McGeehan, “Hardware analysis for Capon and MUSIC DOA estimation algorithms,” in Proc. IEEE Antennas Propag. Soc. Int. Symp., (2009). https://doi.org/10.1109/APS.2009.5171760 DOI: https://doi.org/10.1109/APS.2009.5171760

[7]. Salama, A. A., “Direction of Arrival Estimation: A Tutorial Survey of Classical and Modern Methods,” arXiv preprint arXiv:2508.11675. (2025). https://arxiv.org/abs/2508.11675

[8]. Madhava, V. M., S. N. Jagadeesha, and T. Yerriswamy, “A Comparative Study of DOA Estimation Algorithms with Application to Tracking Using Kalman Filter,” Signal & Image Processing: An International Journal (SIPIJ), pp. 16–17, (2015).

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Published

28-11-2025

How to Cite

[1]
Le Van Bao, Nguyen Quang Vinh, and P. Tư, “Direction estimation and tracking of rapidly moving RF emitters ”, J. Mil. Sci. Technol., vol. 107, no. 107, pp. 3–12, Nov. 2025.

Issue

Section

Electronics & Automation