High-Efficiency and High-Precision Reconstruction Strategy for P-Band Ultra-Wideband Bistatic Synthetic Aperture Radar Raw Data Including Motion Errors

High-Efficiency and High-Precision Reconstruction Strategy for P-Band Ultra-Wideband Bistatic Synthetic Aperture Radar Raw Data Including Motion Errors
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DOI:
10.1109/access.2020.2971660
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发表时间:
2020
期刊:
影响因子:
3.9
通讯作者:
Hongtu Xie;Jun Hu;K. Duan;Guoqian Wang
Hongtu Xie;Jun Hu;K. Duan;Guoqian Wang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Hongtu Xie;Jun Hu;K. Duan;Guoqian Wang

文献摘要

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P波段超宽带双基地合成孔径雷达(UWB BSAR)具有良好的树叶穿透能力、高分辨率成像能力和附加散射信息能力,具有探测隐蔽目标的潜力。然而P波段UWB BSAR原始数据量大、空间方差大、距离方位耦合显着、运动误差复杂,增加了高效精确重建的难度。本文提出了一种针对包含运动误差的P波段UWB BSAR原始数据的重建策略,能够高效、高精度地解决上述问题。该方法需要在斜距平面而不是地平面上对原始数据进行局部波束形成作为中间处理,这可以准确参考考虑平台高度的发射机和接收机的轨迹。并且,通过分析考虑运动误差的双基地距离误差以及子图像光束的采样要求,推导出选择子孔径和子图像的要求,这在精度和效率之间提供了近乎最优的权衡。仿真和测量结果表明,该策略是有效的,并且能够以较低的计算复杂度实现接近最优的性能。
P-band ultra-wideband bistatic synthetic aperture radar (UWB BSAR) has the well capability of the foliage penetrating, high-resolution imaging and adding the scattered information, which is potential of detecting the concealed target. However, the P-band UWB BSAR raw data is of the huge amount, big spatial-variance, significant range azimuth coupling and complicated motion error, which increases the difficulty of the efficient and precise reconstruction. In this paper, we propose a reconstruction strategy for the P-band UWB BSAR raw data including the motion errors, which can solve the above problems with the high-efficiency and high-precision. This method requires the local beamforming from the raw data as an intermediate processing in the slant range plane instead of ground plane, which can be exactly referenced to the tracks of the transmitter and receiver considering platform altitudes. And, it derives the requirement for selecting the subapertures and subimages by analyzing the bistatic range error considering the motion errors, as well as sampling requirement of the beam for the subimages, which offers a near-optimum tradeoff between the precision and efficiency. Simulated and measured results show that the proposed strategy is effective, and can achieve the near optimal performance with the low computational complexity.