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Improving the Target Position Detection in the Crossed Array Detectors Seeker by Categorizing the FOV up to the Pulses Distribution

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 72 - Number 4
Year of Publication: 2013
A. R. Yrfanean
M. R. Mosavi
A. Mohammadi
S. Y. Alchekh Yasin

A R Yrfanean, M R Mosavi, A Mohammadi and Alchekh S Y Yasin. Article: Improving the Target Position Detection in the Crossed Array Detectors Seeker by Categorizing the FOV up to the Pulses Distribution. International Journal of Computer Applications 72(4):28-36, June 2013. Full text available. BibTeX

	author = {A. R. Yrfanean and M. R. Mosavi and A. Mohammadi and S. Y. Alchekh Yasin},
	title = {Article: Improving the Target Position Detection in the Crossed Array Detectors Seeker by Categorizing the FOV up to the Pulses Distribution},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {72},
	number = {4},
	pages = {28-36},
	month = {June},
	note = {Full text available}


Seeking in a field of view (FOV) is influenced by the existence of jammers, noise, shine background or flying perturbations. All these factors may push the target out of the FOV and cause missing the target. In all the seekers the FOV is not fully exploited which means the target can be missed before becoming out of the FOV, this results of the nonlinearity of the reticle structure. In this paper, a novel method of the target position detection a crossed four slits or crossed array detectors (CAT) seeker will be designed, simulated and evaluated. The idea of this method depends on dividing the FOV into main regions up to a certain parameter, which is the pulses number; then, each main region will be divided into sub-regions up to a second parameter which will be the pulses distribution a spin period. The errors sources will be discussed and evaluated. Other new idea will be applied which is exploiting some area of the FOV where a part of the position data is missed in the information signal by pushing the target to the region where the information signal carries the total position data.


  • G. Gerson and A. K. Rue, "Tracking Systems," Chap. 22 in The Infrared Handbook, G. J. Zissis and W. L. Wolfe, Eds. , RIM, Ann Arbor, MI(1985).
  • K. Seyrafi and S. A. Hovanessian, Chap. 7 in Introduction to Electooptical Imaging and Tracking Systems, pp. 193–220, ArtechHouse,Norwood, MA(1993).
  • R. Legault, ''Reticle and Image Analyses,'' Chap. 17 in The Infrared Handbook, revised ed. , W. L. Wolfe and G. J. Zissis, Eds. , pp. 17-1–17-49, Environmental Research Institute of Michigan, Ann Arbor, MI(1985).
  • J. S. Accetta and D. L. Shymaker, Eds. , "The Infrared & Electro-Optical Systems Handbook", SPIE Press (1993).
  • J. S. Oh, K. S. Doo, S. G. Jahng, and J. S. Choi, "A New Counter-Countermeasure Algorithm for Two-Color Infrared Seekers," Optical Engineering, vol. 40, No. 8 (2001).
  • R. G. Driggers, C. E. Halford, G. D. Boreman, D. Lattman, and K. F. Williams, "Parameters of Spinning FM Reticles," Appi. Opt. 30, 887—895(1991).
  • P. E. Mengers and K. B. O'Brien, "Analysis of Error Response of Amplitude Modulated Reticles," J. Opt. Soc. Am. 54, 668—671 (1964).
  • Z. W. Chao and J. L. Chu, "General Analysis of Frequency-Modulation Reticles," Opt. Eng. 27, 440—442 (1988).
  • M. A. Porras, J. Alda, and E. Bernabeu, "Amplitude-Modulated and Frequency-Modulated Reticle Responses of Gaussian Beams," Optical Engineering, Vol. 30, No. 12 (1991).
  • R. G. Driggers, C. E. Halford, and G. D. Boreman, "Use of Spatial Light Modulators in Frequency Modulation Reticle Trackers," Optical Engineering. Vol. 29, No. 11, pp. 1398-1403 (1990).
  • W. Haifeng, L. Zhi, Z, Qing, and S. Xinzhi, "A Double Infrared Image Processing System Using Rosette Scanning," Proceeding. SPIE, Vol. 2894, pp. 2-10 (1996).
  • S. G. Jahng, H. K. Hong, S. H. Han, and J. S. Choi, ''Dynamic Simulation of The Rosette Scanning Infrared Seeker and an IRCCM using The Moment Technique,'' Opt. Eng. 38(5), 921–928 (1999).
  • J. S. Oh, K. S. Doo, S. G. Jahng, D. S. Seo, and J. S. Choi, "Novel Adaptive Digital Signal Processing Algorithm for a Stationary Reticle Seeker," Optical Engineering, Vol. 39, No. 1 0, pp. 2797-2803, 2000.
  • D. P. Forrai and J. J. Maier, "Generic Models in the Advanced IRCM Assessment Model," Proceeding of the 2001 Winter Simulation Conference, pp. 789-796 (2001).
  • M. R. Mosavi, M. Asadpour, and R. Kalili,"Comparing Performance of Two Infrared Anti-Jamming Methods using Fuzzy System and Neural Network," 2007 Congress on Intelligent and Fuzzy Systems, Ferdowsi University of Mashhad, Iran (2007).
  • M. R. Mosavi, M. Asadpour, and H. A. Amerim,"Design and Simulation of an Infrared Jammer Source for an Infrared Seeker," IEEE Conference on Signal Processing, Communications, and Networking, India (2008).