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Point Source localization from deramped Phase History bound on Interferometric Synthetic Aperture Radar (IFSAR) Accuracy

机译:干涉合成孔径雷达(IFSAR)精度限制的解斜相位历史记录的点源定位

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The almost unique ability of azimuth deramping to preserve a smooth phase function in azimuth is exploited here to link two disparate spatial processing methods, Direction of Arrival (DOA) localization and Interferometric Synthetic Aperture Radar (IFSAR) and explore the achievable accuracy inherent in their common measurement scenario. Deramping in range quickly provides a first component for point source localization. Deramping in azimuth is phase preserving and provides an approximate localization in azimuth that is more accurate over narrower apertures and can be corrected in scenarios involving range migration and for its point source, azimuth location dependence. In cross-track IFSAR two antenna measurements azimuth/elevation DOAs can be calculated from their smooth azimuth functions at each range with a 1 D parametric estimate (exponential model) of point sources. Joint frequency estimates (both antennae) provide the azimuth DOA while the phase difference between antenna amplitude estimates provides the elevation DOA. The cross track antenna measurements can also be processed via the IFSAR methodology producing two SAR images and the phase difference between the two (an interferogram). This provides two images coordinates and a height for each pixel. The connection between the phase history DOA localization and the IFSAR is used to attain accuracy bounds for IFSAR. Extrapolation of the bounds is provided from two spatially un-aliased antennas to IFSAR scenarios with large baseline separations of the antennas. In addition imaging from the azimuth-elevation-range localization data and its ability to minimize layover (building tops imaged closer than their bases) is explored.
机译:此处利用了几乎完全独特的方位角缓变能力来保持方位角中的平滑相位函数,以链接两种不同的空间处理方法,即到达方向(DOA)定位和干涉式合成孔径雷达(IFSAR),并探讨了它们共同的固有固有可实现的精度。测量方案。范围内的快速消除为点源定位提供了第一个组件。方位角的去斜是保持相位的,并且提供方位角的近似定位,该方位角在较窄的孔径上更准确,并且可以在涉及范围偏移及其点源,方位角位置相关性的场景中进行校正。在跨轨IFSAR中,可以使用点源的一维参数估计(指数模型)从每个范围内的平滑方位角函数计算两个天线测量方位角/仰角DOA。联合频率估计(两个天线)提供方位角DOA,而天线幅度估计之间的相位差提供仰角DOA。跨轨天线测量也可以通过IFSAR方法进行处理,生成两个SAR图像以及两者之间的相位差(干涉图)。这为每个像素提供了两个图像坐标和一个高度。相历史DOA定位与IFSAR之间的联系用于获得IFSAR的精度范围。从两个空间未混叠的天线向具有较大基线基线间隔的IFSAR场景提供边界的外推。此外,还研究了从方位角-仰角范围本地化数据中获取的图像及其最小化停顿的能力(建筑物顶部成像得比其底部更近)。

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