ESTIMATION OF RADAR JAMMING WAVEFORMS WITH CFAR ALGORITHMS FOR DIFFERENT TARGET SITUATIONS

Authors

  • Ban Khalid Ammar Department of Communication Techniques Engineering, Engineering Technical College/Najaf, Al-Furat Al-Awsat Technical University, Najaf, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/170212

Keywords:

Radar, CFAR algorithms, Barrage jamming, Spot jamming, Sweep jamming, Noise AM and FM jamming

Abstract

This paper focuses on target detection, emphasizing its significance and exploring the implementation of Constant False Alarm Rate (CFAR) detection algorithms. Explores the performance of CA (Cell Average), GO (Greatest of), and SO (Smallest of) detectors in the existence of many jamming techniques including Barrage Jamming, Spot Jamming, Sweep Jamming, Noise AM Jamming, and Noise FM Jamming signals. Evaluate the CFAR algorithm's realization with various scenarios like Single target, Closed multi-target, Multi target, and the presence of a Clutter edge environment. The study aims to assess the behavior of detection algorithms for accurate detection and how they perform in challenging environments

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References

Alaa, R., Hussein, E.A. and Al-libawy, H., 2024. OBJECT DETECTION ALGORITHMS IMPLEMENTATION ON EMBEDDED DEVICES: CHALLENGES AND SUGGESTED SOLUTIONS. Kufa Journal of Engineering, 15(3).

Ammar, B.K., Albattat, H.J., Wadday, A.G. and Al-Ja’afari, M.A., 2021. Maximum Rate, with Joint Resource Allocation and Relay Selection for OFDM-Cognitive Network with Multiple-(Two-Way AF)-Relay. In Proceedings of First International Conference on Mathematical Modeling and Computational Science: ICMMCS 2020 (pp. 451-462). Springer Singapore.

Ammar, B.K., Albattat, H.J., Wadday, A.G. and Al-Ja'afar, M.A., 2023. Power, Subcarrier Allocation and Relay Selection with Interference Managements for OFDM-Based Cognitive Heterogeneous Networks. Al-Furat Journal of Innovations in Electronics and Computer Engineering.

Aref, M.A., Jayaweera, S.K. and Yepez, E., 2020. Survey on cognitive anti‐jamming communications. IET Communications, 14(18), pp.3110-3127.

Aziz, M.M., Maud, A.R.M. and Habib, A., 2021, January. Reinforcement learning based techniques for radar anti-jamming. In 2021 International Bhurban Conference on Applied Sciences and Technologies (IBCAST) (pp. 1021-1025). IEEE.

Björklund, S., 2017. Signal Processing for Radar with Array Antennas and for Radar with Micro-Doppler Measurements (Doctoral dissertation, Blekinge Tekniska Högskola).

Blunt, S.D. and Mokole, E.L., 2016. Overview of radar waveform diversity. IEEE Aerospace and Electronic Systems Magazine, 31(11), pp.2-42.

Cao, Z., Li, J., Song, C., Xu, Z. and Wang, X., 2020, December. A novel CFAR algorithm for multi-target detection with FMCW radar. In GLOBECOM 2020-2020 IEEE Global Communications Conference (pp. 1-6). IEEE.

Electronic Warfare - RADAR NOISE JAMMING, 2018. https://fullafterburner.weebly.com/next-gen-weapons/electronic-warfare-radar-noise-jamming.

G.M. Hatem, 2020. Design and Implementation of Smart Processor for Performance Enhancement of Radar. https://iqdr.iq/search?view=b5bd6dacb75998

Hansen, V.G. and Sawyers, J.H., 1980. Detectability loss due to" greatest of" selection in a cell-averaging CFAR. IEEE Transactions on Aerospace and Electronic Systems, (1), pp.115-118.

Hashim, A.A. and Mazinani, M., 2025. DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING. Kufa Journal of Engineering, 16(1).

Hatem, G.M., Sadah, J.A. and Saeed, T.R., 2018, November. Comparative study of various CFAR algorithms for non-homogenous environments. In IOP Conference Series: Materials Science and Engineering (Vol. 433, No. 1, p. 012080). IOP Publishing.

HM, F., 1968. Adaptive detection mode with threshold control as a function of spatially sampled clutter-level estimates. Rca Rev., 29, pp.414-465.

Hu, Y., Wang, Z., Chen, H. and Jiang, Y., 2023, June. Research on radar jamming for detection performance. In Journal of Physics: Conference Series (Vol. 2517, No. 1, p. 012015). IOP Publishing.

Ismael, H.H., Jasim, M.A., Sharif, M.A. and Jasim, F.Z., 2025. ARTIFICIAL INTELLIGENCE IN ROBOTIC MANIPULATORS: EXPLORING OBJECT DETECTION AND GRASPING INNOVATIONS. Kufa Journal of Engineering, 16(1).

Jalil, A., Yousaf, H. and Baig, M.I., 2016, January. Analysis of CFAR techniques. In 2016 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 654-659). IEEE.

Khadka, S., Anuradha, M.S. and Padmasree, C., 2015. Study of the Effect of Barrage and Deception Jamming on a Radar System along with their Mitigation Technique. Int. J. Sci. Res, 4(9), pp.98-103.

Liu, X. and Li, D., 2018. Analysis of cooperative jamming against pulse compression radar based on CFAR. EURASIP Journal on Advances in Signal Processing, 2018(1), p.69.

Mboungam, A.M., Zhi, Y. and Youani, W.A.T., 2023. Moving Target Detection Using CA SO and GO-CFAR detectors in Nonhomogeneous Environment [C]. In Applied Mathematics and Sciences: An International Journal (MathSJ), 7th International Conference on Applied Mathematics and Sciences (AMA 2023).

Orlando, D., 2016. A novel noise jamming detection algorithm for radar applications. IEEE Signal Processing Letters, 24(2), pp.206-210.

Safir Shbat, M. and Tuzlukov, V., 2014. Definition of adaptive detection threshold under employment of the generalised detector in radar sensor systems. IET Signal Processing, 8(6), pp.622-632.

Sahal, M., Said, Z.A., Putra, R.Y., Kadir, R.E.A. and Firmansyah, A.A., 2020, July. Comparison of CFAR methods on multiple targets in sea clutter using SPX-radar-simulator. In 2020 International Seminar on Intelligent Technology and Its Applications (ISITIA) (pp. 260-265). IEEE.

Sim, Y., Heo, J., Jung, Y., Lee, S. and Jung, Y., 2023. FPGA implementation of efficient CFAR algorithm for radar systems. Sensors, 23(2), p.954.

Trunk, G.V., 1978. Range resolution of targets using automatic detectors. IEEE Transactions on Aerospace and Electronic Systems, (5), pp.750-755.

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Published

2026-05-02

How to Cite

Ammar, Ban Khalid. “ESTIMATION OF RADAR JAMMING WAVEFORMS WITH CFAR ALGORITHMS FOR DIFFERENT TARGET SITUATIONS”. Kufa Journal of Engineering, vol. 17, no. 2, May 2026, pp. 194-11, https://doi.org/10.30572/2018/KJE/170212.

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