Migration through range cells compensation and ISAR imaging for maneuvering target

2021 ◽  
Vol 15 (04) ◽  
Author(s):  
Jin Wei ◽  
Yicheng Jiang ◽  
Yun Zhang ◽  
Zitao Liu
Keyword(s):  
Maneuvering Target ◽  
Isar Imaging

Rotational parameters estimation of maneuvering target in ISAR imaging

2010 ◽  
Vol 21 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Wenchen Li ◽  
J. Liu ◽  
Xuesong Wang ◽  
Shunping Xiao ◽  
Guoyu Wang
Keyword(s):  
Parameters Estimation ◽  
Maneuvering Target ◽  
Isar Imaging

scholarly journals A Novel ISAR Imaging Method for Maneuvering Target Based on AM-QFM Model Under Low SNR Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 140499-140512 ◽  
Author(s):  
Li Li ◽  
Li Yan ◽  
Dong Li ◽  
Hongqing Liu ◽  
Chengxiang Zhang
Keyword(s):  
Imaging Method ◽  
Low Snr ◽  
Maneuvering Target ◽  
Isar Imaging

scholarly journals A New Rang-Instantaneous Doppler ISAR Imaging Algorithm

2012 ◽  
Vol 6-7 ◽  
pp. 682-687
Author(s):  
Bao Ping Wang ◽  
Chao Sun ◽  
Jun Jie Guo
Keyword(s):  
High Resolution ◽  
Sparse Representation ◽  
Motion Compensation ◽  
Noise Suppression ◽  
Phase Error ◽  
Doppler Imaging ◽  
Imaging Algorithm ◽  
Time Frequency ◽  
Maneuvering Target ◽  
Isar Imaging

ISAR imaging algorithm based on sparse representation has the advantages of high resolution, noise suppression and dealing with gapped data effectively. The method is based on the hypothesis that the imaging targets move smoothly. But the movement of ISAR imaging targets is usually of high maneuverability, which results in big phase error after motion compensation. Using the traditional RD imaging algorithm and the imaging algorithm based on sparse representation will make the resultant image fuzzy, and can't even be identified. This paper introduces a new range- instantaneous Doppler imaging algorithm based on sparse representation and time-frequency transform, which can effectively image the maneuvering target. The experimental results validate the feasibility of this approach.

Sign in / Sign up

Export Citation Format

Share Document