Browse > Article
http://dx.doi.org/10.9766/KIMST.2018.21.2.158

A Study on the Automatic Pulse Classification Method for Non-cooperative Bi-static Sonar System  

Kim, Geun Hwan (School of Electronics Engineering, KyungPook National University)
Yoon, Kyung Sik (Department of IT Convergence Engineering, Gimcheon University)
Kim, Seong il (The 6th Research and Development Institute, Agency for Defense Development)
Jeong, Eui Cheol (The 6th Research and Development Institute, Agency for Defense Development)
Lee, Kyun Kyung (School of Electronics Engineering, KyungPook National University)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.21, no.2, 2018 , pp. 158-165 More about this Journal
Abstract
Recently there is a great interest in the bi-static sonar. However, since the transmitter and the receiver operate on different platforms, it may be necessary to operate the system in a non-cooperative mode. In this situation, the detection and localization performance are limited. Therefore, it is necessary to classify the received pulse from the transmitter to overcome the performance limitation. In this paper, we proposed a robust automatic pulse classification method that can be applied to real systems. The proposed method eliminates the effects of noise and multipath propagation through post-processing and improves the pulse classification performance. We also verified the proposed method through the sea experimental data.
Keywords
Bi-satic Sonar; Non-coopoerative Mode; Pulse Classification;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cox, Henry, "Fundamentals of Bistatic Active Sonar," Underwater Acoustic Data Processing, Springer Netherlands, pp. 3-24, 1989.
2 D. H. Lee, T. J Jung, K. K. Lee and M. Hyun, “Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Noncooperative Bistatic Sonar,” Sensor Journal, IEEE, Vol. 12, No. 9, pp. 2784-2790, 2012.   DOI
3 Lee, Kwang Hee, et al., "Robust Localization Using Geographic Information in Bistatic Sonar," International Journal of Distributed Sensor Networks 13.6 : 1550147717714172, 2017.
4 H. Schmidt-Schierhorn, A. Corsten, B. Strassner, S. Benen, M. Meister, "The Use of Bistatic Sonar Functions on Modern Submarines," UDT EUROPE 2007 Italy, pp. 5-7, 2007.
5 Lee, Donghwa, et al., "Source Information Estimation Using Enemy's Single-Ping and Geographic Information in Non-cooperative Bistatic Sonar," IEEE Sensors Journal 12.9 : 2784-2790, 2012.   DOI
6 K. K. Lee, A Study on the Robust Feature Extraction and Classification Algorithm for Shore Based Classification Center, Research and Development Report, Agency for Defense Development, 2006.
7 Stoica, Petre, and Randolph L. Moses. Spectral Analysis of Signals, Vol. 1, Upper Saddle River, NJ: Pearson Prentice Hall, 2005.
8 Robert J. Urick, Principles of Underwater Sound, McGraw-Hill, USA, 1967.
9 Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, Digital Image Processing using MATLAB, Gatesmark Publishing, pp. 334-377, 2009.
10 Vijaykumar, V. R., G. Santhana Mari, and D. Ebenezer, "Fast Switching based Median-mean Filter for High Density Salt and Pepper Noise Removal," AEU-International Journal of Electronics and Communications 68.12 : 1145-1155, 2014.   DOI
11 J. Fox, Robust Regression Sage, Thousand Oaks, CA, Tech. Rep., 2002.