A Radar Visualization System Upgrade
Hector N. Acosta, Marcelo A. Tosini
DOI: 10.4236/jsea.2010.32019   PDF    HTML     6,171 Downloads   10,604 Views   Citations


This work develops a system to visualize the information for radar systems interfaces. It is a flexible, portable software system that allows to be used for radars that have different technologies and that is able to be adapted to the specific needs of each application domain in an efficient way. Replacing the visualization and processing units on existing radar platforms by this new system, a practical and inexpensive improvement is achieved.

Share and Cite:

H. Acosta and M. Tosini, "A Radar Visualization System Upgrade," Journal of Software Engineering and Applications, Vol. 3 No. 2, 2010, pp. 150-159. doi: 10.4236/jsea.2010.32019.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] S. A. Hovanessian, “Radar detection and tracking sys-tems,” Artech House, Inc., 1973.
[2] L. Sha, et al., “Evolving dependable real-time systems,” Technical Report CMS/SEI95 -TR-005, CMU, Software Engineering Institute, 1995.
[3] J. R. Y. Johnson and R. W. Johnson, “Challenges of computing the fast fourier transform,” Optimized Portable Application Libraries (OPAL) Workshop, Kansas City, Junio de 1997.
[4] G. Noone, “Radar pulse train parameter estimation and tracking using neural networks, in proc,” IEEE AN-NES’95, IEEE, November 1995.
[5] E. Mingolla, W. Ross, and S. Grossberg, “A neural net-work for enhancing boundaries and surfaces in synthetic aperture radar images,” Neural Networks 1999; 12 499—511.
[6] R. C. Krishnamohan and P. S. Mmoharir, “Radar signal design problem with neural network processing,” Sad-hana, Vol. 26, Part 3, pp. 237–241, June 2001.
[7] R Perry, et al., “Trellis structure approach to multitarget tracking. adaptive sensor array processing workshop,” Marzo de 1999, MIT Lincoln Laboratory.
[8] G. Welch and G Bishop, “An introduction to the Kalman filter,” Technical Report: TR95-041, University of North Carolina, 1995.
[9] Q. Zhao and Z. Bao, “Radar target recognition using a radial basis function,” Neural Networks, Vol. 9, No. 4, pp. 709–720, Elsevier, 1996.
[10] Xilinx, Inc., Virtex-4 User Guide V2.2, www.xilinx.com, 2007.
[11] Xilinx, Ltd., Virtex-4 Family Overview, DS112 (V2.0), January 23, 2007.
[12] K. Chapman, Pico Blaze—Amplifier and A/D converter control for Spartan-3E Starter Kit, Xilinx Ltd, February 23, 2006.
[13] Solanki Gautam V., Neural network and its application in pattern recognition, Seminar Report, Indian Institute of Technology, 2004.
[14] Y. H, Liao, Neural networks in hardware: a survey, De-partment of Computer Science, University of California, 2001.
[15] Silicon Recognition, 1150 Industrial Avenue, Suite C, Petaluma, CA 94952, URL: www.silirec.com.
[16] Acosta et al., “Desarrollo de un Visualizador de Se?ales de Radar,” CACIC, October 2006, San Luis, Argentina.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.