DocumentCode
3405281
Title
Parameters estimation of target with precession based on combined feature
Author
Huo, Kai ; Liu, Yongxiang ; Jiang, Weidong ; Li, Xiang
Author_Institution
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
1989
Lastpage
1993
Abstract
It is beneficial for the recognition and classification of targets to obtain geometrical and motional parameters simultaneously. This paper proposes a new method to estimate parameters of target with precession based on combined feature, which is generated by Doppler feature and high range resolution feature of target from a new radar-OFDM radar. Expanded Hough transform (EHT) is employed to establish the combined feature with range and motion information of scatterers. The paper mainly presents the principle to establish the combined feature and the estimation of precession angle, target posture and target length. Finally, the results from simulations and anechoic chamber data prove the validity of the method.
Keywords
Doppler effect; Hough transforms; OFDM modulation; anechoic chambers (electromagnetic); electromagnetic wave scattering; feature extraction; object detection; parameter estimation; pose estimation; radar resolution; radar target recognition; Doppler feature; EHT; OFDM radar; anechoic chamber data; expanded Hough transform; feature extraction; high range resolution target feature; precession angle estimation; scatterer motion information; target classification; target length estimation; target parameter estimation; target posture estimation; target recognition; Doppler effect; Doppler radar; Estimation; Feature extraction; OFDM; Transforms; OFDM radar; expanded Hough transform; feature extraction; parameter estimation; precession;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5655884
Filename
5655884
Link To Document