论文标题
关于Spaceborne Sars之间的相互干扰:建模,表征和缓解措施
On the Mutual Interference between Spaceborne SARs: Modeling, Characterization, and Mitigation
论文作者
论文摘要
由于由国际电信联盟(ITU)调节性,因此可用于Spaceborne合成孔径雷达(SAR)的无线电频谱仅限于某些有限的频率间隔,因此有许多不同的Spaceborne SAR系统共享共同的频段。由于这个原因,据报道,轨道交叉位置的两个太空传播SAR可能会导致严重的相互干扰。具体而言,SAR的传输信号(通常是线性频率调制(LFM))可以直接由另一个SAR天线的侧面或背叶接收,从而在集中图像中引起辐射量。本文试图对伪像进行建模和表征,并研究有效的方法来减轻它们。为此,我们制定了一个用于描述人工制品的分析模型,该模型揭示了相互干扰可以在图像域中引入二维LFM辐射量,并具有有限的空间范围。我们表明,基于范围 - 齐路的去耦分析和二维高阶泰勒膨胀,人工制品的排名低。基于低等级模型,我们表明可以采用两种方法,即原理组件分析及其鲁棒变体,以通过图像域中的处理有效地减轻伪像。前一种方法具有快速处理速度的优点,例如,可以通过块状操作在70秒内处理Sentinel-1干涉宽宽图像的子武器,而后者为稀疏点状散射器提供了提高的精度。实验结果表明,可以通过提出的方法有效缓解哨兵1级图像中相互干扰引起的辐射伪像。
Since by the International Telecommunications Union (ITU) regulatory the radio spectrum available to spaceborne synthetic aperture radar (SAR) is restricted to certain limited frequency intervals, there are many different spaceborne SAR systems sharing common frequency bands. Due to this reason, it is reported that two spaceborne SARs at orbit cross positions can potentially cause severe mutual interference. Specifically, the transmitting signal of a SAR, typically linear frequency modulated (LFM), can be directly received by the side or back lobes of another SAR's antenna, causing radiometric artefacts in the focused image. This paper tries to model and characterize the artefacts, and study efficient methods for mitigating them. To this end, we formulate an analytical model for describing the artefact, which reveals that the mutual interference can introduce a two-dimensional LFM radiometric artefact in image domain with a limited spatial extent. We show that the artefact is low-rank based on range-azimuth decoupling analysis and two-dimensional high-order Taylor expansion. Based on the low rank model, we show that two methods, i.e., principle component analysis and its robust variant, can be adopted to efficiently mitigate the artefact via processing in image domain. The former method has the advantage of fast processing speed, for example, a sub-swath of Sentinel-1 interferometric wide swath image can be processed within 70 seconds via block-wise operation, whereas the latter provides improved accuracy for sparse point-like scatterers. Experiment results demonstrate that the radiometric artefacts caused by mutual interference in Sentinel-1 level-1 images can be efficiently mitigated via the proposed methods.