A detection method of high resolution radar targets based on position correlation
- 30 Downloads
Abstract
This paper studies a detection method of targets of high resolution radar operating at the band of millimeter-wave(32∼38GHz) under the background of the clutters, and proposes a new nonparametric detection method, which not only does less computation, but also is able to detect multiple extended targets radially distributed along distance “corridor”, based on the position (range) correlation information of one-dimensional range images(or called range profiles) of high resolution radar targets. The experimental results, on the real echo data of tank illuminated by the millimeter-wave stepped frequency high resolution radar, have certified that such a method presented in this paper is a very effective detection method for multiple extended targets.
Key words
High resolution radar Millimeter-wave clutter Range profile Position correlation Scattering centre Nonparametric detectionPreview
Unable to display preview. Download preview PDF.
References
- [1]D. R. Wehner, High Resolution Radar. Artech House, 1987.Google Scholar
- [2]D. L. Mensa, High Resolution Radar Imaging. Artech House, 1981.Google Scholar
- [3]J. L. Eaves, E. K. Reedy, Principles of Modern Radar. New York: Van Nostrand Reinhold Company, 1987.Google Scholar
- [4]N. C. Currie, R. D. Hayes, R. N. Trebits, Millimeter-Wave Radar Clutter. Boston, London: Artech House, 1992.Google Scholar
- [5]D. S. Huang, The Study of Signal Detection and Recognition Technique of the Anti-Tank Seekers. Postdoctoral Research Fellow Report of Beijing Institute of Technology, July 1995.Google Scholar
- [6]D. S. Huang, E. K. Mao, Y. Q. Han, A new detection method of position correlation of high resolution radar targets. Proceeding of the National Conference in the 10th Anniversary Celebration of Chinese Postdoctor System, Beijing: Academic Press, 1995, 205–209.Google Scholar
- [7]Z. Bao, S. J. Wu, Y. H. Zhang, New prospects of radar signal processing, Xi’an: The Key Lab of Radar Signal Processing, Xidian University, 1993.Google Scholar
- [8]M. Brakat, S. D. Himonas, P. K. Varshney, CFAR detection for multiple target situations. IEE Proc.-F, 136(1989)5, 193–209.Google Scholar
- [9]D. Marr, Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, San Francisco: W. H. Freeman and Company, 1982.Google Scholar