Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2021.11.11.017

Radar identification by scan period validation  

Kim, Gwan-Tae (Division of Technology-Research, VICTEK)
Publication Information
Journal of Convergence for Information Technology / v.11, no.11, 2021 , pp. 17-22 More about this Journal
Abstract
Radar signal analysis of electronic warfare is a technique for identifying a radar type by signal parameters(direction, radion frequency, pulse repetition interval, pulse width, scan period..) extracted from a received radar pulse. However as the modern radar and new threat environments is advanced, radar identification ambiguity arises in the process of identifying the types of radars. In this paper, we analyze the problems of the existing method and propose a new method. This technique determines the validity of the scan period by the difference in the arrival time of the radar pulse and the minimum number of scan period discrimination. Experiments proved that the scan cycle results are derived regardless of the RMS((Root Mean Square) of the input amplitude.
Keywords
Radar signal; Scan period; Electronic Warfare; Difference Time of arrival; Ambiguity;
Citations & Related Records
연도 인용수 순위
  • Reference
1 David L. Adamy. (2004). EW102 A second Course in Electronic Warfare. London: Artech House.
2 J. A. V. Rogers. (1985, Dec). ESM Processor System For High Pulse Density Radar Environments, IEE Proceedings F-Communications, Radar and Signal Processing (Vol. 132, No. 7, pp. 621-625). England : IET Digital Library.   DOI
3 D. W. Lee, J. W. Han & W. D. Lee. (2008, July). Adaptive radar pulses clustering based on density cluster window, International Technical Conference on Circuits/Systems, Computers and Communications. (pp, 1,377-1,380). Seoul: ITC-CSCC.
4 C. L. Davies & P. Holland. (1982, June). Automatic processing for ESM, Radar and Signal Processing (Vol. 129, No. 3, pp. 164-171). England: IET Digital Library.
5 J. Roe, S. Cussons & A. Feltham. (1990, Oct). Knowledge-based Signal Processing For Radar ESM System, In IEE Proceedings F-Radar and Signal Processing(Vol. 137, No. 5, pp. 293-301). England: IET Digital Library.   DOI
6 J. R. Lee, H. S. Kang, J. H. Kim & S. K. Park, (2020). Scan Period Estimation and Deception Signal Generation Method of the Search Radar, Journal of KIIT, 18(11), 9-16. DOI : 10.14801/jkiit.2020.18.11.9   DOI
7 D. R. Wilkinson & A.W. Watson. (1985, July). Use of metric techniques in ESM data processing, In IEE Proceedings F-Communications, Radar and Signal Processing (Vol. 132, No. 4, pp. 229-232).England: IET Digital Library.   DOI
8 H. K. Mardia. (1998, April). Adaptive Multi-Dimensional Clustering for ESM, IEE Colloquium on Signal Processing for ESM Systems.
9 J. W. Han, K. H. Song, D. W. Lee & S. C. Lye. (2007). A novel clustering algorithm of radar pulses based on the adaptive cluster window, 2007 International Symposium on Computer and Information Sciences.
10 H. K. Mardia. (1989, Aug). New technique for the deinterleaving of repetitive sequence, In IEE Proceedings F (Radar and Signal Processing) (Vol. 136, No. 4, pp. 149-154), England: IET Digital Library.   DOI
11 Y. K. Kwag. (2017). Radar System Engineering. Seoul : cheongmoon Publishing
12 B. Barshan & B. Eravcl. (2021). Automatic Radar Antenna Scan Type Recognition in Electronic Warfare, IEEE Transactions on Aerospace and Electronic Systems, 48(4), 2908-2931. DOI : http//10.1109/TAES.2012.6324669   DOI
13 G. T. Kim, Y. K. Ju & J. N. Jeon, (2020). Feature Extraction of Radar Signals Using streaming Process, Journal of Convergence for Information Technology, 10(12), 31-38. DOI : 10.22156/CS4SMB.2020.10.12.031   DOI