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首页> 外文期刊>EURASIP journal on advances in signal processing >An image formation algorithm for missile-borne circular-scanning SAR
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An image formation algorithm for missile-borne circular-scanning SAR

机译:弹载循环扫描SAR图像形成算法

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Circular-scanning SAR is an imaging mode with its antenna beam rotating continuously with respect to the vertical axis. An image formation algorithm for the missile-borne circular-scanning SAR is proposed in this article. Based on the principle of the polar format algorithm, the focus algorithm is generalized to form each subimage when the antenna beam scans at an arbitrary position. By calculating the 2-D position of each calibration point between the scatterers and the subimages, a method is presented to correct the geometric distortion of each subimage. This method is able to correct the geometric distortion even in the case of high maneuvering. These subimages are then mosaicked together to form a circular image. The simulation results under three different maneuvering trajectories are given, the subimages are formed by the focusing algorithm, and then the final circular image can be formed by mosaicking 71 subimages, each of which is after geometric distortion correction. The simulations validate the proposed image formation algorithm, and the results satisfy system design requirements.
机译:圆形扫描SAR是一种成像模式,其天线波束相对于垂直轴连续旋转。本文提出了一种导弹弹载循环扫描SAR成像算法。基于极坐标格式算法的原理,当天线波束在任意位置扫描时,聚焦算法被通用化以形成每个子图像。通过计算散射体和子图像之间每个校准点的二维位置,提出了一种校正每个子图像的几何畸变的方法。即使在高机动性的情况下,该方法也能够校正几何变形。然后将这些子图像镶嵌在一起以形成圆形图像。给出了三种不同机动轨迹下的仿真结果,通过聚焦算法形成子图像,然后通过镶嵌71个子图像形成最终的圆形图像,每个子图像均经过几何畸变校正。通过仿真验证了所提出的图像形成算法,结果满足系统设计要求。

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