Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-25T01:08:10.075Z Has data issue: false hasContentIssue false
  • English
  • Français

Time-frequency tomographic imaging of a rotating object in a narrow-band radar

Published online by Cambridge University Press:  15 April 2016

Ewa Swiercz
Ewa Swiercz*
Affiliation:
Bialystok University of Technology, Wiejska 45 A, 15-351 Bialystok, Poland. Phone: +48 85 467 9441
*
Corresponding author:E. Swiercz, Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The backscatter from radar object carries Doppler information of scatterers on the object determined by the radial velocity of scattering points and the radar transmitted frequency. For a rotating object this information is contained in the frequency characteristics over varying aspect angle. Frequency characteristics are used to create projections for Doppler radar tomographic imaging. This paper presents a method for high resolution imaging of a rotating target using a time-frequency transform of a returned signal as tomographic projections. The resolution of a tomographic image depends not only on radar system parameters but also depends on the resolution of input projections. The reassigned spectrogram is proposed for building of tomographic projections, due to its possibility of squeezing of frequency spread. The reassigned spectrogram is sensitive to noise so the denoising procedure in the time-frequency domain must be performed before the reassignment procedure. The denoising is performed by removing Short Time Fourier Transform (STFT) noise coefficients below the appropriate threshold. The STFT is a linear time-frequency transform and coefficients, which belong to the signal and coefficients which belong to noise can be analyzed separately. The efficiency of the proposed idea of imaging is supported by results of numerical experiments.

Keywords

Radar Signal Processing and System ModellingRadar Applications
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Special Issue 6: Signal Processing Symposium 2015 , September 2016 , pp. 871 - 879
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1] Coetzee, S.L.; Baker, C.J.; Griffiths, H.D.: Narrow band high resolution radar imaging, in 2006 IEEE Radar Conf., Verona, USA, 2006.Google Scholar
[2] Sego, D.J.; Griffiths, H.; Wicks, M.C.: Radar tomography using Doppler-based projections, in 2011 IEEE Radar Conf. (RADAR), Kansas City, USA, 2011.Google Scholar
[3] Sego, D.J.; Griffiths, H.; Wicks, M.C.: Waveform and aperture design for low-frequency RF tomography. IET Radar Sonar Nav., 5 (6) (2011), 686–696.Google Scholar
[4] Tran, H.T.; Melino, R.: Application of the Fractional Fourier Transform and S-Method in Doppler Radar Tomography, published by DSTO Defence Science and Technology Organisation, DSTO-RR-0357, August 2010.Google Scholar
[5] XueRu, B.; GuangCai, S.; QiSong, W.; MengDao, X.; Zheng, B.: Narrow-band radar imaging of spinning target. Sci. China Information Sci., 54 (4) (2011), 873–883.Google Scholar
[6] Li, J.; Qiu, C.-W.; Zhang, L.; Xing, M.; Bao, Z.; Yeo, T.-S.: Time-frequency imaging algorithm for high-speed spinning targets in two dimensions. IET Radar Sonar Nav., 4 (5) (2010), 806–817.Google Scholar
[7] Swiercz, E.: Radar Doppler tomography of a rotated object in noisy environment based on time-frequency transformation, in Signal Processing Symp., Debe, Poland, 2015.Google Scholar
[8] Auger, F.; Flandrin, P.; Gonçalvès, P.; Lemoine, O.: Time-Frequency Toolbox For Use with MATLAB, CNRS (France) Rice University (USA), 1995–1996.Google Scholar