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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >An Extended Fast Factorized Back Projection Algorithm for Missile-Borne Bistatic Forward-Looking SAR Imaging
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An Extended Fast Factorized Back Projection Algorithm for Missile-Borne Bistatic Forward-Looking SAR Imaging

机译:弹药双基地前视SAR成像的扩展快速分解投影算法

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摘要

In this paper, an extended fast factorized back projection (FFBP) algorithm is proposed to focus the missile-borne bistatic forward-looking synthetic aperture radar (BFSAR) data. It is also based on the subaperture processing technique to reduce the computational burden, but represents the subimages on the elliptical polar coordinates referenced to the tracks of both transmitter and receiver. First, the imaging geometry and signal model of the missile-borne BFSAR are established. Then, considering the special configuration of the missile-borne BFSAR, a novel elliptical polar coordinate system whose origin is determined by the positions of both transmitter and receiver is established. The subaperture processing approach based on this coordinate system is presented. Successively, based on the range error analysis, the sampling requirements of the elliptical polar subimages are derived to provide a tradeoff between the imaging quality and efficiency. Finally, the computational burden of the proposed algorithm is discussed, and the speed-up factor of the proposed algorithm with respect to the direct back projection algorithm is derived. The experimental results with simulated data prove the validity and feasibility of the proposed algorithm.
机译:本文提出了一种扩展的快速分解因子投影(FFBP)算法,以对导弹机载双基地前视合成孔径雷达(BFSAR)数据进行聚焦。它也基于子孔径处理技术来减轻计算负担,但是在椭圆极坐标上表示的子图像参考了发送器和接收器的轨道。首先,建立了导弹载BFSAR的成像几何和信号模型。然后,考虑导弹BFSAR的特殊配置,建立了一种新颖的椭圆极坐标系,其原点由发射器和接收器的位置决定。提出了基于该坐标系的子孔径处理方法。继而,基于范围误差分析,得出椭圆极性子图像的采样要求以提供成像质量和效率之间的折衷。最后,讨论了所提算法的计算负担,并推导了所提算法相对于直接反投影算法的提速因子。仿真数据的实验结果证明了该算法的有效性和可行性。

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