A Study of Various Clustering Algorithms Used for Radar Signal Sorting


Authors : Fathi Elnour Hammed; Ahmed Abdalla Ali; Ahmed Awad

Volume/Issue : Volume 9 - 2024, Issue 10 - October


Google Scholar : https://tinyurl.com/hfb7j6su

Scribd : https://tinyurl.com/3bnf64p2

DOI : https://doi.org/10.38124/ijisrt/IJISRT24OCT1779

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Radar signal sorting plays a significant part in radar countermeasure technology and reconnaissance systems. By means of radar signal sorting, several radars and their parameters in the battlefield are precisely recognized and placed in the radar records for subsequent positioning and jamming processing. The basic sorting methods cannot fulfill the sorting process with accurate and efficient results. Therefore, in this paper, we conduct a study on two main classes clustering techniques, the first is hierarchical based clustering, and the second one is partition based clustering, which have different characteristics into groups of pulses and they can sort and handle large number of radar sequence with high precision and accuracy. The numerical simulations studied and compared both methods under different perspectives to clarify a new directions based on the insightful investigations of these sorting techniques.

Keywords : Electronic Warfare (EW); Electronic Support Measure (ESM); Radar Signal Sorting; Clustering.

References :

[1]. Ahmed Abdalla Ali. Mohammed Ramadan. Yongjian
Liao . Shijie Zhou , “An adaptive filtering algorithm
in pulse-Doppler radar for counteracting range-

velocity jamming”, International Journal of
Electronics, 109(10),pp 1695–1713, 2022.
[2]. Ahmed Abdalla Ali., Wang, W. Q., Yuan, Z.,
Mohamed, S., & Bin, T. “Subarray-based FDA radar
to counteract deceptive ECM signals”, EURASIP
Journal on Advances in Signal Processing, 104,
1–11,2016.
[3]. Ahmed Abdalla Ali., Yuan, Z., & Bin, B. “ECCM
schemes in netted radar system based on temporal
pulse diversity”. Journal of Systems Engineering and
Electronics, 27(5), 1001–1009, 2016.
[4]. Ahmed Abdalla Ali., Shokrallah, A. M. G., Yuan, Z.
H. A. O., Ying, X., & Bin, T. A. N. G. “ Deceptive
jamming suppression in multistatic radar based on
coherent clustering”, Journal of Systems Engineering
and Electronics, 29(2), 269–277, April 2018.
[5]. Rokach, Lior, and Oded Maimon. "Clustering
methods." Data mining and knowledge discovery
handbook. Springer US, 2005. 321-352.
[6]. Murtagh, F. A survey of recent advances in
hierarchical clustering algorithms which use cluster
centers. Comput. J. 26 354-359, 1984.
[7]. Chen, Long, CL Philip Chen, and Mingzhu Lu. "A
multiple-kernel fuzzy C-means algorithm for image
segmentation." IEEE Transactions on  Systems, Man,
and Cybernetics, Part B: Cybernetics, 41.5: 1263-
1274,2011.
[8]. He, Ai-Ling, et al. "Multi-Parameter Signal Sorting
Algorithm Based on Dynamic Distance Clustering."
Journal of Electronic Science And Technology of
China7.3: 249-253,2009.
[9]. D. Xu, M. Xu, H. Wang, F. Feng, L. Tang and M. Gu,
"A Real-time Radar Signal Sorting Method and
Implementation Based on DSP," 2020 IEEE MTT-S
International Wireless Symposium (IWS), Shanghai,
China, 2020, pp. 1-3, 2020.
[10]. Z. Cui, X. Fu, P. Lang, J. Dong, F. Wu and H. Gao,
"Radar Signal Sorting Based on Adaptive SOFM and
Coyote optimization," 2022 7th International

Conference on Signal and Image Processing (ICSIP),
Suzhou, China, 2022, pp. 157-161,2022.
[11]. M. Wan, Y. Zhang, Y. Bai, Y. Sun, Q. Yu and Q.
Wang, "A Real-Time Radar Signal Sorting Method
Under Bayesian Framework With Dynamic Cluster
Merging," in IEEE Sensors Journal, vol. 24, no. 17,
pp. 27859-27869, 1 Sept.1, 2024.
[12]. Z. Zhou, X. Fu, J. Dong and M. Gao, "Radar Signal
Sorting With Multiple Self-Attention Coupling
Mechanism Based Transformer Network," in IEEE
Signal Processing Letters, vol. 31, pp. 1765-1769,
2024.
[13]. Zhizhong Zhang, Xiaoran Shi, Xinyi Guo, Feng Zhou,
"TR-RAGCN-AFF-RESS: A Method for Radar
Emitter Signal Sorting", Remote Sensing, vol.16,
no.7, pp.1121, 2024.

Radar signal sorting plays a significant part in radar countermeasure technology and reconnaissance systems. By means of radar signal sorting, several radars and their parameters in the battlefield are precisely recognized and placed in the radar records for subsequent positioning and jamming processing. The basic sorting methods cannot fulfill the sorting process with accurate and efficient results. Therefore, in this paper, we conduct a study on two main classes clustering techniques, the first is hierarchical based clustering, and the second one is partition based clustering, which have different characteristics into groups of pulses and they can sort and handle large number of radar sequence with high precision and accuracy. The numerical simulations studied and compared both methods under different perspectives to clarify a new directions based on the insightful investigations of these sorting techniques.

Keywords : Electronic Warfare (EW); Electronic Support Measure (ESM); Radar Signal Sorting; Clustering.

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