Feature extraction of precession target based on Doppler profile sequences by maximum likelihood estimation-Reference-Cited by-同舟云学术

Feature extraction of precession target based on Doppler profile sequences by maximum likelihood estimation

Author:

Wang Ning¹,Mo Di¹,Song Ziqi¹,Wang Ran²,Li Guangzuo³,Wu Yirong²

Affiliation:

1. University of Chinese Academy of Sciences and Institute of Electronics, Chinese Academy of SciencesBeijing100190People's Republic of China

2. Institute of Electronics, Chinese Academy of SciencesBeijing100190People's Republic of China

3. Center for Advanced Sensing Technology, Shanghai Jiao Tong UniversityShanghai20007People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

Reference5 articles.

1. The achievements of target characteristic with micro‐motion;Zhuang Z.;Acta Electron. Sin.,2007

3. Feature extraction of precession targets using multi‐aspect observed HRRP sequences;Ai X.;J. Electron. Info. Tech.,2011

4. Precession parameter estimation for ballistic targets based on multi‐aspect range‐profile sequence;He S.;J. Sig. Proc.,2013

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