基于吕氏分布的机动目标参数化平动补偿方法

doi:10.12305/j.issn.1001-506X.2022.04.12

Abstract

Abstract:

In the imaging process of inverse synthetic aperture radar (ISAR), the target usually maneuver to avoid radar exposure, which will cause the echo envelope to be severely curved. At the same time, it will aggravate the complexity of the echo phase change, which greatly improves the difficulty of translational compensation. In order to achieve accurate and stable translational compensation for maneuvering target echo, a parametric translational compensation method based on Lv's distribution (LVD) is proposed. Firstly, models the maneuvering target's echo is modeled as a polynomial phase signal, the phase difference is used to gather the echo energy. Then, the LVD and the minimum image entropy criterion are adopted to estimate the translational parameters. Finally, the compensation functions are founded to simultaneously compensate the envelope and phase errors of the echo. Experiments with measured data prove the effectiveness, superiority and stability of the proposed method under low signal to noise ratio environments.

Key words: inverse synthetic aperture radar (ISAR), translational compensation, polynomial phase signal, Lv's distribution (LVD)

CLC Number:

TN957

Fengkai LIU, Darong HUANG, Xinrong GUO, Cunqian FENG. Parametric translational compensation method for maneuvering target based on Lv's distribution[J]. Systems Engineering and Electronics, 2022, 44(4): 1166-1173.

Figures/Tables 8

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Parametric translational compensation method for maneuvering target based on Lv's distribution

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