Back to Search Start Over

A 3-D Imaging Method for Aerospace Targets Based on Linear Array Radar

Authors :
Jin Guanghu
Dong Zhen
Yu Anxi
Zhang Yi
Source :
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

In this paper, a novel 3-D imaging method of aerospace targets based on linear array radar is proposed. The traditional ISAR imaging can only show the scattering centers’ projection on the imaging plane, which is hard to be used for target recognition. To overcome this shortcoming, this paper proposes realizing 3-D imaging by a linear array. The key parameters of linear array radar are obtained by analyzing the relationship between of the azimuth ambiguity and the resolution. In the far-field condition, the resolutions of the target image in three dimensions including range, azimuth and height are obtained by using the backward projection algorithm. Experiment based on simulated data shows that the method can achieve accurate 3-D imaging of space objects and have good performance.

Details

Database :
OpenAIRE
Journal :
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
Accession number :
edsair.doi...........a987f8779557a5b8e9ad037f8c0520b8