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http://dx.doi.org/10.22156/CS4SMB.2020.10.12.031

Feature Extraction of Radar Signals Using Streaming Process  

Kim, Gwan-Tae (Division of Technology-Research, VICTEK)
Ju, Young-Kwan (Department of Computer Science, Chungbuk National University)
Jeon, Joongnam (Department of Computer Science, Chungbuk National University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.12, 2020 , pp. 31-38 More about this Journal
Abstract
Radar signal identification of electronic warfare is a technology that recognizes the pulse repetition interval (PRI) from a set of pulse description words (PDWs) generated by the signal receiver. Conventionally batch processing is widely used in which a number of PDWs are collected as a unit and identifies PRI from the batch. In this paper, we propose a feature extraction algorithm based on the streaming process. This technique does not wait to form a batch. Whenever a PDW(Pulse Description Word) is generated from the signal receiver, the streaming process tries to form a cluster of PDWs, and makes the DTOA (Difference of Time of Arrival) histogram, finds out the frame PRI based on the concentration ratio, and decides the number of stagger stages. Experiments proved that the proposed algorithm derives stable recognition results as the cluster size increases.
Keywords
Radar signal; PRI recognition; DTOA histogram; Streaming process; Concentration ratio;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 D. R. Wilkinson & A.W. Watson, (1985). Use of metric techniques in ESM data processing, IEE proceedings on F Communications radar and signal processing. 132(4), 229-232. DOI : 10.1049/ip-f-1.1985.0055   DOI
2 H. K. Mardia, (1998). Adaptive Multi-Dimensional Clustering for ESM. In IEE Colloquium on signal processing for ESM systems (pp. 5-1). IET.
3 D. W. Lee, J. W. Han & W. D. Lee, (2008). Adaptive radar pulses clustering based on density cluster window, In ITC-CSCC: International Technical Conference on Circuits Systems, Computers and Communications (pp. 1377-1380).
4 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, International Symposium on Computer and Information Sciences.
5 H. K. Mardia, (1989). New technique for the deinterleaving of repetitive sequence, In IEE Proceedings F (Radar and Signal Processing) (Vol. 136, No. 4, pp. 149-154). IET Digital Library. DOI : 10.1049/ip-f-2.1989.0025.   DOI
6 Y. W. Kim & H. W. Yang, (2002). An Algorithm for Estimating Pulse Repetition Intervals of Stagger PRI Pulse Train Using 2D-TDOA Histogram, Journal of Institute of Control, Robotics and Systems, 8(8), 673-681. DOI : 10.5302/J.ICROS.2002.8.8.673   DOI
7 Y. J. Ryu, K. H. Song & W. W. Kim, (2007). Recognition of PRI modulation types of radar signals using the autocorrelation, IEICE transactions on communications, 90(5), 1290-1294. DOI : 10.1093/ietcom/e90-b.5.1290   DOI
8 J. S. Lim, K. H. Hong, G. S. Jun, S. C. Moon, C. J. Lee & S. H. Suh, (2008). Analysis of PRI Pattern with the Second Deviation of LASER Pulse Train, The Journal of the Korea Contents Association, 8(4), 63-70. DOI : 10.5392/JKCA.2008.8.4.063   DOI
9 J. S. Lim, K. H. Hong, D. Y. Lee, D. H. Shin & Y. H. Kim, (2009). An Identify of Two Step Stagger Signals Using the Second Deviation of Pulse Train, Journal of the Korea Academia-Industrial cooperation Society, 10(7), 1536-1541. DOI : 10.5762/KAIS.2009.10.7.1536   DOI
10 J. S. Lim, K. H. Hong, D. Y. Lee, D. H. Shin & Y. H. Kim, (2009). A De-interleaving Method of Frequency Agility Radar Signals in Comparison with PRI's of radars. Journal of the Korea Academia-Industrial cooperation Society, 10(8), 1832-1838. DOI : 10.5762/KAIS.2009.10.8.1832   DOI
11 G. T. Kim, Y. K. Ju & J. N. Jeon, (2018). A Detection Algorithm for Modulation Types of Radar Signals Using Autocorrelation Comparison Ranges, Journal of Convergence for Information Technology, 8(5), 137-143,. DOI : 10.22156/CS4SMB.2018.8.5.137   DOI
12 Y. K. Ju & J. N. Jeon, (2020). Extraction of Pulse Repetition Interval for Radar Signals Using Kernel Function based DTOA Histogram, The Institute of Electronics and Information Engineers, 57(2), 81-87. DOI : 10.5573/ieie.2020.57.2.81   DOI
13 J. T. Lee, Y. K. Ju, G. T. Kim & J. N. Jeon, (2014). A Clustering Technique of Radar Signals using 4-Dimensional Features. Journal of the Institute of Electronics and Information Engineers, 51(10), 137-144. DOI : 10.5573/ieie.2014.51.10.137   DOI
14 S. H. Park, Y. K. Ju, G. T. Kim & J. N. Jeon, (2016). A Detection Algorithm for Pulse Repetition Interval Sequence of Radar Signals based on Finite State Machine, The Institute of Electronics and Information Engineers, 53(7) 85-91, DOI : 10.5573/ieie.2016.53.7.085   DOI