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Modified Omega-k Algorithm for High-Speed Platform Highly-Squint Staggered SAR Based on Azimuth Non-Uniform Interpolation

机译:基于方位角非均匀插值的高速平台高斜视交错SAR的改进Omega-k算法

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摘要

In this work, the staggered SAR technique is employed for high-speed platform highly-squint SAR by varying the pulse repetition interval (PRI) as a linear function of range-walk. To focus the staggered SAR data more efficiently, a low-complexity modified Omega-k algorithm is proposed based on a novel method for optimal azimuth non-uniform interpolation, avoiding zero padding in range direction for recovering range cell migration (RCM) and saving in both data storage and computational load. An approximate model on continuous PRI variation with respect to sliding receive-window is employed in the proposed algorithm, leaving a residual phase error only due to the effect of a time-varying Doppler phase caused by staggered SAR. Then, azimuth non-uniform interpolation (ANI) at baseband is carried out to compensate the azimuth non-uniform sampling (ANS) effect resulting from continuous PRI variation, which is further followed by the modified Omega-k algorithm. The proposed algorithm has a significantly lower computational complexity, but with an equally effective imaging performance, as shown in our simulation results.
机译:在这项工作中,交错SAR技术被用于通过改变脉冲重复间隔(PRI)作为测距游动的线性函数的高速平台高斜视SAR。为了更有效地聚焦交错的SAR数据,提出了一种基于新方法的低复杂度改进Omega-k算法,用于优化方位角非均匀插值,避免了在距离方向上进行零填充以恢复距离单元迁移(RCM)并节省了数据存储和计算负荷。所提出的算法采用了相对于滑动接收窗口的连续PRI变化的近似模型,仅由于交错SAR引起的时变多普勒相位的影响而留下了残留相位误差。然后,在基带处进行方位角非均匀插值(ANI),以补偿由于PRI连续变化而导致的方位角非均匀采样(ANS)效应,其后进一步采用改进的Omega-k算法。如我们的仿真结果所示,所提出的算法的计算复杂度大大降低,但是具有同样有效的成像性能。

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