首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Azimuth Overlapped Subaperture Algorithm in Frequency Domain for Highly Squinted Synthetic Aperture Radar
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Azimuth Overlapped Subaperture Algorithm in Frequency Domain for Highly Squinted Synthetic Aperture Radar

机译:高斜视合成孔径雷达的频域方位重叠子孔径算法

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The high-resolution imaging of a highly squinted synthetic aperture radar remains difficult because of the severe coupling between the range and the azimuth. “Squint minimization” compensates for the range walking in the azimuth time domain, which efficiently increases the orthogonality between the range and the azimuth. However, this “squint minimization” introduces the azimuth space-variant phases, which can be compensated by the azimuth nonlinear chirp-scaling (ANCS) algorithm using large computational loads. In this letter, an azimuth overlapped subaperture algorithm (AOSA) is proposed to compensate for these phases in the Doppler frequency domain. The validity constraint of this algorithm is then analyzed. The AOSA has an advantage over ANCS in terms of the computational load and is considerably more suitable for real-time processing.
机译:由于斜距与方位角之间存在严重的耦合,因此斜视高度很高的合成孔径雷达的高分辨率成像仍然很困难。 “斜视最小化”可补偿在方位角时域中的距离游走,从而有效地增加了距离与方位角之间的正交性。但是,这种“斜视最小化”引入了方位角空间变化相位,可以使用较大的计算负荷通过方位角非线性chi缩放(ANCS)算法进行补偿。在这封信中,提出了一种方位重叠子孔径算法(AOSA),以补偿多普勒频域中的这些相位。然后分析该算法的有效性约束。就计算量而言,AOSA具有优于ANCS的优势,并且非常适合于实时处理。

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