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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >An Extended Nonlinear Chirp-Scaling Algorithm for Focusing Large-Baseline Azimuth-Invariant Bistatic SAR Data
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An Extended Nonlinear Chirp-Scaling Algorithm for Focusing Large-Baseline Azimuth-Invariant Bistatic SAR Data

机译:聚焦大基线方位不变双基地SAR数据的扩展非线性线性调频标度算法

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摘要

For an azimuth-invariant bistatic synthetic aperture radar (BiSAR), not only is the secondary range compression dependent on range, but also the range-cell migration in the range-Doppler domain is nonlinearly dependent on range. To get a better focusing performance, the two range-dependent factors must be taken into account in an imaging algorithm. In this letter, a nonlinear chirp-scaling algorithm is extended for focusing the BiSAR data under a large baseline and a wide range swath. This algorithm leads to more effective processing with computational efficiency, and no interpolation is required.
机译:对于方位不变双基地合成孔径雷达(BiSAR),不仅次级距离压缩取决于距离,而且距离多普勒域中的距离单元迁移也非线性取决于距离。为了获得更好的聚焦性能,在成像算法中必须考虑两个与范围有关的因素。在这封信中,扩展了非线性线性调频缩放算法,用于将BiSAR数据聚焦在较大的基线和较宽的范围内。该算法可以提高处理效率,并提高计算效率,并且不需要插值。

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