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| 一种PFA工程化快速成像处理算法研究 |
| Research on a PFA Engineering Fast Imaging Processing Algorithm |
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| DOI：10.16018/j.cnki.cn32-1650/n.202202005 |
| 中文关键词: 极坐标格式算法 二次距离补偿 改进方位处理 |
| 英文关键词: polar format algorithm twice range compensation improved azimuth processing |
| 基金项目: |
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| 中文摘要: |
| 在机载聚束模式合成孔径雷达成像场景下，利用极坐标格式算法(PFA)实现远距离高分辨成像过程中，由于二维矩阵规模庞大，需要进行大量的距离/方位插值处理，耗费大量的硬件运算资源。从限制矩阵规模的角度，研究一种PFA快速成像处理算法，通过二次距离补偿策略及改进的方位处理算法，降低距离/方位向的插值点数；最后通过两种算法的对比，发现在大斜视远距离高分辨成像需求的背景下，采用PFA改进算法，在不影响成像指标的前提下，可节约近一半的运算量。 |
| 英文摘要: |
| Polar Format Algorithm(PFA) is used in airborne spotlight Synthetic Aperture Radar. While long-range and high-resolution SAR requires large scale matrix, the great range and azimuth interpolation is needed, which consumes hardware computing resources. This paper aims to limit the size of the matrix, researches a fast PFA imaging processing algorithm, which uses a twice range compensation and an improved azimuth processing way to reduce the points of two-dimensional interpolation. By comparing two algorithms, we can see that in need of long-range and high-resolution SAR imaging, the proposed algorithm can save nearly half hardware computing resources without compromising imaging performance. |
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