基于二维稀疏特性的空间目标高分辨ISAR成像方法

Translated title of the contribution: High Resolution ISAR Imaging of Space Target Based on Two-Dimensional Sparse Characteristics

Jun Tao Ma, Mei Guo Gao, Bao Feng Guo, Wen Hua Hu, Ming Fei Xia

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Aiming at the ISAR imaging problem of three-axis stabilized space target, a two dimensional high resolution ISAR imaging method was proposed based on sparse characteristics and orbit model. Firstly, a phase-stable wave shape dictionary was developed with target orbital data to realize high range resolution and motion compensation. Then, considering the translational motion and attitude stabilization of target running on orbit, the effective accumulation angle of three-axis stabilized space target was calculated with target rotation vector analysis. According to the sparse characteristics of high range resolution profile (HRRP), the cross-range matching dictionary size was decided effectively, and a dictionary structure was proposed to adapt to the migration through resolution cell (MTRC). The simulation results show that the sparse matching dictionary can correctly reflect the attitude change of space target, solve the MTRC problem of scatters, and significantly improve the two-dimensional resolution of the space target ISAR image.

Translated title of the contributionHigh Resolution ISAR Imaging of Space Target Based on Two-Dimensional Sparse Characteristics
Original languageChinese (Traditional)
Pages (from-to)511-518 and 550
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume38
Issue number5
DOIs
Publication statusPublished - 1 May 2018

Fingerprint

Dive into the research topics of 'High Resolution ISAR Imaging of Space Target Based on Two-Dimensional Sparse Characteristics'. Together they form a unique fingerprint.

Cite this