Performance Analysis of Infrared Counter-countermeasures using Spectral Distribution Characteristics 


Vol. 27,  No. 11, pp. 1093-1100, Nov.  2002


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  Abstract

Spectral distribution characteristic is open applied to infrared counter-countermeasure (IRCCM) for efficient target tracking under infrared countermeasures (IRCM) operated by a target. In this paper, we introduce the IRCCMs using the spectral distribution characteristic and analyze effects of noise, quantization step size, and system implementation of the proposed IRCCM. To estimate the performance of IRCCMs, we simulate target signal extraction and 2D/3D target tracking using the reticle seeker. The simulation results show that the proposed IRCCM can remove the IRCM efficiently and is superior to the conventional IRCCMs.

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  Cite this article

[IEEE Style]

J. Oh and J. Choi, "Performance Analysis of Infrared Counter-countermeasures using Spectral Distribution Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 11, pp. 1093-1100, 2002. DOI: .

[ACM Style]

Jeong-su Oh and Jong-soo Choi. 2002. Performance Analysis of Infrared Counter-countermeasures using Spectral Distribution Characteristics. The Journal of Korean Institute of Communications and Information Sciences, 27, 11, (2002), 1093-1100. DOI: .

[KICS Style]

Jeong-su Oh and Jong-soo Choi, "Performance Analysis of Infrared Counter-countermeasures using Spectral Distribution Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 11, pp. 1093-1100, 11. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880