DocumentCode :
1884441
Title :
Radar micro-Doppler analysis and rotation parameter estimation for rigid targets with complicated micro-motions
Author :
Lei, Peng ; Wang, Jun ; Sun, Jinping
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1307
Lastpage :
1310
Abstract :
Radar micro-Doppler (mD) provides a promising approach to parameter estimation and classification of micro-dynamic targets. The micro-motion states and characteristics of instantaneous mD frequency are investigated to free symmetric rigid bodies. They are found to take the precession motion, and thus induce complicated mD features with non-sinusoidal variation. Based on theoretical analysis of the spectral structure of mD time-frequency (TF) sequence, this paper proposes a rotation parameter estimation method for complicated micro-motions. The estimation method includes TF analysis, spectrogram processing, projection mapping and spectral estimation. The spin and precession rates of micro-dynamic targets can then be extracted from their radar echoes. Finally, the effectiveness of the proposed method is verified by Monte-Carlo simulations and further discussion.
Keywords :
Doppler radar; Monte Carlo methods; geophysical signal processing; motion measurement; parameter estimation; radar signal processing; remote sensing by radar; rotation measurement; signal classification; Monte Carlo simulations; free symmetric rigid bodies; instantaneous microDoppler frequency; microDoppler time-frequency sequence spectral structure; microdynamic target classification; micromotion states; nonsinusoidal variation; precession motion; precession rate; projection mapping; radar microDoppler analysis; rigid target complicated micromotions; rotation parameter estimation method; spectral estimation; spectrogram processing; spin rate; Estimation; Feature extraction; Parameter estimation; Radar; Signal to noise ratio; Spectrogram; Time frequency analysis; Micro-Doppler; precession; rotation parameter estimation; spectral structure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049440
Filename :
6049440
Link To Document :
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