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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >High Quality Isar Imaging for Target of Arbitrary Trajectory Based on Back Projection and Particle Swarm Optimization
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High Quality Isar Imaging for Target of Arbitrary Trajectory Based on Back Projection and Particle Swarm Optimization

机译：基于反投影和粒子群优化算法的高质量Isar任意轨迹目标成像。

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摘要

When the target has large size or the target moves irregularly, traditional inverse synthetic aperture radar (ISAR) imaging method will lead to a poor image quality due to space variate and migration of echo envelop. In this paper, a novel method based on Back Projection (BP) and Particle Swarm Optimization (PSO) is proposed, which can achieve high quality images under the circumstances of irregular motion, large target and low signal to noise ratio (SNR). First, Target motion is modeled as a turntable, then the translational motion and rotational motion are modeled as two polynomials. Entropy of coherent superposition value of part of the imaging scene pixels based on BP algorithm is utilized as the evaluation function to estimate the polynomial coefficients based on an optimization algorithm such as PSO. Once the polynomial coefficients are estimated, a high quality image of the whole scene can be obtained by BP algorithm. The simulation results verify the effectiveness of the proposed method.
机译：当目标尺寸较大或目标运动不规则时，传统的逆合成孔径雷达（ISAR）成像方法会因空间变化和回声包络的迁移而导致图像质量较差。提出了一种基于反投影（BP）和粒子群优化（PSO）的新方法，该方法可以在运动不规则，目标较大，信噪比（SNR）较低的情况下获得高质量的图像。首先，将目标运动建模为转盘，然后将平移运动和旋转运动建模为两个多项式。利用基于BP算法的部分成像场景像素的相干叠加值的熵作为评估函数，基于优化算法（如PSO）估算多项式系数。一旦估计了多项式系数，就可以通过BP算法获得整个场景的高质量图像。仿真结果验证了该方法的有效性。

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