Wide-angle ISAR Imaging for a sparse frequency domain signal | Zendy

Sheng Li | Zendy; Hua Yan | Zendy; Shan Cui | Zendy; Chao Wang | Zendy

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Wide-angle ISAR Imaging for a sparse frequency domain signal

Author(s) -

Sheng Li,

Hua Yan,

Shan Cui,

Chao Wang

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.01.200

Subject(s) - computer science , inverse synthetic aperture radar , compressed sensing , signal (programming language) , frequency domain , range (aeronautics) , ambiguity , computer vision , domain (mathematical analysis) , artificial intelligence , amplitude , aperture (computer memory) , radar imaging , algorithm , radar , optics , acoustics , telecommunications , physics , mathematics , materials science , mathematical analysis , composite material , programming language

The traditional wide-angle ISAR imaging method for a sparse frequency domain signal suffer from ambiguity in range profile introduced by sparse frequency and amplitude inaccuracy introduced by wide-angle imaging processing due to existence of a visible range for the scattering centers. The new method using compressed sensing and sub-aperture synthesize which can solve these problem is proposed in this paper, and the simulation and measurement results verify it.

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