K. A. Lukin, "Noise radar technology," Telecommunications and Radio Engineering, vol. 55, no. 12, pp. 8-16, 2001.
K. A. Lukin, "Noise radar technology: the principles and short overview," Applied Radio Electronics, vol. 4, no. 1, pp. 4-13, 2005.
K. A. Lukin et al., "Ka-band bistatic ground based noise-waveform-sar for short range applications," Radar, Sonar and Navigation, IET, vol. 2, no. 4, pp. 233-243, 2008. [Web of Science]
R. M. Narayanan and M. Dawood, "Doppler estimation using a coherent ultra-wideband random noise radar," vol. 6, no. 4, pp. 868-878, 2000.
(2012) Euvis company homepage. [Online]. Available: http://www.euvis.com/
M. Born, E. Wolf, and A. B. Bhatia, Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light. Reading, MA: Cambridge University Press, 1999.
K. A. Lukin and V. A. Rakityansky, "Sources of millimeter wave noise oscillations," in Proc Int. Symposium on Physics and Engineering of Millimeter and Submillimeter Waves, 1995, pp. 322-324.
V. A. Rakityansky and K. A. Lukin, "Excitation of the chaotic oscillations in millimeter bwo," Int. Journal of Infrared and Millimeter waves, vol. 16, no. 6, pp. 1037-1050, 1995.
A. A. Mogyla, K. A. Lukin, and Y. A. Shyian, "Relay-type noise correlation radar for the measurement of range and vector range rate," Telecommunications and Radio Engineering, vol. 57, no. 2/3, pp. 175- 183, 2002.
K. A. Lukin, A. A. Mogyla, Y. A. Alexandrov, and Y. A. Shiyan, "Noise radar sensor for collision warning systems," Applied Radio Electronics, vol. 4, no. 1, pp. 47-53, 2005.
K. Iizuka and A. P. Freundorfer, "Detection of nonmetallic buried objects by a step frequency radar," Institute of Electrical and Electronic Engineers, vol. 71, pp. 277-279, 1983.
B. Bandhauer, "Radar frequency hopping," U.S. Patent 7,215,278, May 8, 2007.
O. V. Zemlyaniy, "Power spectrum of the millimeter wave noise oscillator with the frequency modulation," in Proc. Fourth International Kharkov Symposium on Physics and Engineering of Millimeter and Sub- Millimeter Waves, 2001, pp. 765-767.
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High Resolution Noise Radar without Fast ADC
Laboratory of Nonlinear Dynamics of Electronic Systems, Institute of Radiophysics and Electronics of NAS of Ukraine, 12 Ak. Proskuri St., Kharkov, 61085, Ukraine1
This content is open access.
Citation Information: International Journal of Electronics and Telecommunications. Volume 58, Issue 2, Pages 135–140, ISSN (Print) 0867-6747, DOI: 10.2478/v10177-012-0019-1, July 2012
- Published Online:
High Resolution Noise Radar without Fast ADC
Conventional digital signal processing scheme in noise radars has certain limitations related to combination of high resolution and high dynamic range. The bandwidth of radar signal defines range resolution of any radar: the wider the spectrum the better the resolution. In noise radar with conventional processing the sounding and reference signals are to be digitized at intermediate frequency band and to be processed digitally. The power spectrum bandwidth of noise signal which can be digitized with ADC depends on its sampling rate. In currently available ADCs the faster is sampling rate the smaller is its depth (number of bits). Depth of the ADC determines relation between the smallest and highest observable signals and thus limits its dynamic range. Actually this is the main bottleneck of high resolution Noise Radars: conventional processing does not enable getting high range resolution and high dynamic range at the same time. In the paper we discuss ways to go around this drawback by changing signal processing ideology in noise radar. We present results of our consideration and design of two types of high resolution Noise Radar which uses slow ADCs: noise radar with digital generation of sounding signal and analog evaluation of cross-correlation and stepped frequency noise radar. We describe main ideas of these radar schemes and results of experimental tests of the approaches.