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Inverse synthetic aperture radar imaging of ship target with complex motion

Inverse synthetic aperture radar imaging of ship target with complex motion

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  • Author(s): Y. Li 1 ; R. Wu 2 ; M. Xing 1 ; Z. Bao 1
    • View affiliations
    • Affiliations: 1: State Key Lab for Radar Signal Processing, Xidian University, Shaanxi, People's Republic of China
      2: Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin, People's Republic of China
  • Source: Volume 2, Issue 6, December 2008, p. 395 – 403
    DOI:  10.1049/iet-rsn:20070101 , Print ISSN 1751-8784, Online ISSN 1751-8792
© The Institution of Engineering and Technology
Published

High-resolution inverse synthetic aperture radar (ISAR) imaging and recognition of ship target is very important for many applications. Although the principle of ISAR imaging of ship target on the sea is the same as that of flying target in the sky, the former usually has more complex motion (fluctuation with the oceanic waves) than the latter, which makes the motion compensation very difficult. However, the change in phase chirp rate caused by the complex motion of ships will deteriorate the azimuth focusing quality. In this paper, we first model the complex motion of ship target with cubic phase terms (parameterised on chirp rate and its change rate), then a new ISAR imaging method, referred to as TC-DechirpClean, is proposed, which estimates the chirp rate and the change rate of chirp rate of all scatters in the time–chirp distribution plane. Both numerical and experimental results are provided to demonstrate the performance of the proposed method.

Inspec keywords: radar target recognition; radar imaging; image resolution; motion compensation; synthetic aperture radar; radar resolution

Other keywords: complex motion; high-resolution radar imaging; ISAR imaging; azimuth focusing quality; motion compensation; phase chirp rate; inverse synthetic aperture radar imaging; TC-DechirpClean imaging algorithm; ship target

Subjects: Radar equipment, systems and applications; Optical, image and video signal processing; Radar theory

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