A Novel Joint Motion Compensation algorithm for ISAR Imaging Based on Entropy Minimization

IF 3.4 3区综合性期刊 Q2 CHEMISTRY, ANALYTICAL

Sensors Pub Date : 2024-07-03 DOI:10.3390/s24134332

Jishun Li, Yasheng Zhang, Canbin Yin, Can Xu, Pengju Li, Jun He

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引用次数: 0

Abstract

Space targets move in orbit at a very high speed, so in order to obtain high-quality imaging, high-speed motion compensation (HSMC) and translational motion compensation (TMC) are required. HSMC and TMC are usually adjacent, and the residual error of HSMC will reduce the accuracy of TMC. At the same time, under the condition of low signal-to-noise ratio (SNR), the accuracy of HSMC and TMC will also decrease, which brings challenges to high-quality ISAR imaging. Therefore, this paper proposes a joint ISAR motion compensation algorithm based on entropy minimization under low-SNR conditions. Firstly, the motion of the space target is analyzed, and the echo signal model is obtained. Then, the motion of the space target is modeled as a high-order polynomial, and a parameterized joint compensation model of high-speed motion and translational motion is established. Finally, taking the image entropy after joint motion compensation as the objective function, the red-tailed hawk–Nelder–Mead (RTH-NM) algorithm is used to estimate the target motion parameters, and the joint compensation is carried out. The experimental results of simulation data and real data verify the effectiveness and robustness of the proposed algorithm.

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基于熵最小化的新型 ISAR 成像联合运动补偿算法

空间目标在轨道上的运动速度非常快，因此为了获得高质量的成像，需要进行高速运动补偿（HSMC）和平移运动补偿（TMC）。HSMC 和 TMC 通常相邻，HSMC 的残余误差会降低 TMC 的精度。同时，在信噪比（SNR）较低的情况下，HSMC 和 TMC 的精度也会降低，这给高质量 ISAR 成像带来了挑战。因此，本文提出了一种低信噪比条件下基于熵最小化的 ISAR 运动联合补偿算法。首先，分析空间目标的运动，得到回波信号模型。然后，将空间目标的运动建模为高阶多项式，并建立了高速运动和平移运动的参数化联合补偿模型。最后，以联合运动补偿后的图像熵为目标函数，采用红尾鹰-奈德-梅德（RTH-NM）算法估计目标运动参数，并进行联合补偿。仿真数据和真实数据的实验结果验证了所提算法的有效性和鲁棒性。

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来源期刊

Sensors 工程技术-电化学

CiteScore

7.30

自引率

12.80%

发文量

8430

审稿时长

1.7 months

期刊介绍： Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.