DocumentCode
1773087
Title
Time-frequency transform used in radar Doppler tomography
Author
Swiercz, Ewa
Author_Institution
Fac. of Electr. Eng., Bialystok Univ. of Technol., Bialystok, Poland
fYear
2014
fDate
16-18 June 2014
Firstpage
1
Lastpage
5
Abstract
The paper focuses on the radar imaging for a rotating object using tomographic method. The simplified mathematical model of radar returns from one rotating scatterer is used for generating of radar projections required in tomographic imaging. These projections are strictly connected with micro-Doppler phenomena and give the frequency characteristics over time. Doppler radar tomography imaging is performed in the narrow-band radar. The modulus of the Short Time Fourier Transform of radar returns is proposed as radar projections. It is experimentally shown on the simulated data, that applying the reassigned spectrogram nearly smear-free projections could be obtained. So the reassigned Short Time Fourier Transform looks promising as projections. Next the back projection algorithm is applied to reconstruct the image in order to get the spatial location of the rotating point using simulated projections. High-resolution radar image strongly depends on smear-free projections so methods for improving the projections are intensively explored.
Keywords
Doppler radar; Fourier transforms; image reconstruction; radar imaging; time-frequency analysis; tomography; Fourier transform; high-resolution radar image; narrow-band radar; radar Doppler tomography; radar imaging; radar mathematical model; radar projections; smear-free projections; spatial location; time-frequency transform; Doppler radar; Fourier transforms; Radar imaging; Time-frequency analysis; Tomography; Doppler radar imaging; reassigned Short Time Fourier Transform; time-frequency transform; tomographic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium (IRS), 2014 15th International
Conference_Location
Gdansk
Print_ISBN
978-617-607-552-3
Type
conf
DOI
10.1109/IRS.2014.6869256
Filename
6869256
Link To Document