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多通道SAR成像及基于STAP的抗噪声干扰算法

         

摘要

多通道合成孔径雷达(synthetic aperture radar,SAR)成像及空对自适应处理(space-time adaptive processing,STAP)是抗噪声干扰的有效途径.从deramping处理与CS( chirp scaling)算法出发,推导了应用于多通道SAR成像的DCS( deramping CS)算法及STAP方法.由于结合了deramping处理进行方位模糊抑制从而降低重频,因而从另一个方面降低了STAP的慢时间阶数.计算机仿真的结果验证了算法的有效性,同时还显示在噪声干扰严重破坏单通道SAR成像及多通道DCS的前提下,多通道STAP可以有效地抑制噪声干扰,保障成像质量.%Multichannel SAR (synthetic aperture radar) imaging and STAP (space time adaptive processing) are effective approaches for antijamming. Based on deramping and CS (chirp scaling) Algorithm, a method for multichannel SAR imaging algorithm is presented by using DCS (deramping CS), Then the slow time STAP is applied for suppressing a noise jammer. From another aspect, the order of slow time dimension can be decreased by the deramping relaxing the requirement of PRF { pulse repetition frequency). The simulation results validate the algorithms and demonstrate that the slow time STAP can improve the image quality even if the single and multichannel SAR imaging is ineffective.

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