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Interleaving fast convolution of 2 signals and multirate analysis with applications to radar imaging

机译:应用在雷达成像中的2个信号和多速分析的快速卷积

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摘要

The authors present a novel fast algorithm for real-time on-board high resolution Synthetic Aperture Radar (SAR) processing that can be implemented efficiently in hardware. The algorithm realizes an interleaving of convolution and multirate analysis of signals. The convolution is to perform signal cross-correlation to obtain the underlying radar image. The multirate analysis is exploited to achieve autofocusing to improve the resolution. The complexity and structure of the novel fast algorithm outperforms conventional fast convolution algorithms/architectures for long sequences. The reliability of the autofocusing algorithm has been established from tests with real SAR data.
机译:作者提出了一种新的快速算法,用于实时车载高分辨率合成孔径雷达(SAR)处理,可以有效地在硬件中实现。该算法实现了对信号的卷积和多速率分析的交织。卷积是执行信号互相关,以获得基础雷达图像。利用多型分析来实现自动聚焦以提高分辨率。新型快速算法的复杂性和结构优于传统的快速卷积算法/架构的长序列。已经从具有真实SAR数据的测试建立了自动聚焦算法的可靠性。

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