Radar Target Recognition Using a Fusion of Monostatic/Bistatic ISAR Images

cha-sang-bin,; Se-Won, Yoon; HwangSeokhyun,; Min, Kim; 정주호,; 임진환,; 박상훈,

doi:10.14801/jkiit.2018.16.12.93

Search citation statements

Order By: Relevance

Paper Sections

Select...

Translational Motion Compensation1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the phase error due to the translational motion must be removed. Assuming the received signal for the frequency f at slow-time t ′ to be sr(t ′ , f ), the motion-compensated signal sr ′ (t ′ , f ) is obtained by multiplying sr(t ′ , f ) by the conjugate of the phase signal that corresponds to the velocity difference dv t (t ′ ) of two neighboring RPs along the LOS [10]:…”

Section: Translational Motion Compensationmentioning

confidence: 99%

An Efficient Modeling Method of the Ballistic Target for Monostatic/Bistatic Observations

Sun¹,

Choi²,

Yoon³

et al. 2022

PIER C

Self Cite

View full text Add to dashboard Cite

This paper proposes an efficient method to simulate the micro-Doppler (MD) frequency of a ballistic warhead by considering a real flight scenario in monostatic and bistatic observations. The radar signal is difficult to obtain by changing the observation angle as the conventional electromagnetic software does obtain the reflected signal for a fixed target, so we transformed the pose of the model engaged in micro-motion in a local coordinates, to the pose on the trajectory, by constructing the transformation matrix. Then we obtained the radar signal by using the point scatterer model and high frequency estimation method, physical optics, and compared the MD results by using the short-time Fourier transform. In simulations for various observation scenarios, MD signatures were successfully obtained, and scattering characteristics were accurately analyzed.

show abstract

Section: Translational Motion Compensationmentioning

confidence: 99%