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首页> 外文期刊>Radar, Sonar & Navigation, IET >Using omega-;A; algorithm for bistatic synthetic aperture radar image formation based on modified extended Loffeld??s bistatic formula
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Using omega-;A; algorithm for bistatic synthetic aperture radar image formation based on modified extended Loffeld??s bistatic formula

机译：使用omega-; A;改进的扩展Loffeld双基地公式的双基地合成孔径雷达图像形成算法

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摘要

Bistatic synthetic aperture radar (BSAR) as a way of Earth remote sensing has been developed considerably in recent years, both theoretically and practically due to its unsubstitutable services. BSAR frequency-domain processing algorithms are efficient ways of image formation in comparison to ideal two-dimensional matched filtering and to relatively accurate and time-consuming time-domain algorithms. Among these frequency-domain algorithms, omega-K is the most precise. The starting and key step of frequency-domain algorithms is the derivation of bistatic spectrum. Recently, a new bistatic spectrum is reported, which is probably the latest and the most modified version of Loffeld??s bistaic formula (LBF), maintaining its accuracy even in azimuth-variant configurations with high squint angles. So far, this spectrum has only been used within range-Doppler algorithm to process BSAR data. The authors investigate the possibility and results of applying this modified version of LBF as a basis for omega-K algorithm. Two approaches, based on Stolt interpolation and inverse scaled Fourier transform, are examined and their effectiveness in general azimuth-variant geometry is validated through several simulations. The proposed implementations show higher performance in terms of image quality measurements as compared to extended LBF-based implementations.
机译：近年来，由于其不可替代的服务，在理论上和实践上，作为地球遥感方法的双基地合成孔径雷达（BSAR）已得到了很大的发展。与理想的二维匹配滤波以及相对准确且耗时的时域算法相比，BSAR频域处理算法是有效的图像形成方法。在这些频域算法中，omega-K最精确。频域算法的开始和关键步骤是双基地谱的推导。最近，报道了一个新的双基地谱，它可能是洛夫菲尔德的双峰公式（LBF）的最新和修改程度最高的版本，即使在具有高斜视角度的方位变构型中也能保持其准确性。到目前为止，该频谱仅在范围多普勒算法中用于处理BSAR数据。作者研究了将这种修改后的LBF版本用作omega-K算法基础的可能性和结果。研究了两种基于Stolt插值和反比例傅立叶变换的方法，并通过几次仿真验证了它们在一般方位角变化几何中的有效性。与扩展的基于LBF的实现相比，提出的实现在图像质量测量方面显示出更高的性能。

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