ISAR imaging of multiple targets based on sparse representations

Xiao Dong, Yunhua Zhang, Xiang Gu, W. Zhai
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引用次数: 4

Abstract

This paper proposes a new method for inverse synthetic aperture radar (ISAR) imaging of multiple targets based on sparse representations. The proposed method includes three steps: (1) coarse estimation of the radial velocities of the targets using Radon transform; (2) signal separation of different targets using sparse representation (SR) method; (3) refocusing of each targets using traditional range-Doppler algorithm. The effectiveness of the proposed method is verified using real ISAR data.
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基于稀疏表示的多目标ISAR成像
提出了一种基于稀疏表示的ISAR多目标逆成像方法。该方法包括三个步骤:(1)利用Radon变换对目标径向速度进行粗估计;(2)利用稀疏表示(SR)方法对不同目标进行信号分离;(3)利用传统距离-多普勒算法对各目标进行再聚焦。通过实际ISAR数据验证了该方法的有效性。
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