基于特征子空间滤波的SAR窄带干扰抑制方法
Narrow Band Interference Suppression for SAR Using Eigen-Subspace Based Filtering
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摘要: 随着合成孔径雷达(SAR)飞速地发展和广泛地应用,针对合成孔径雷达的干扰手段也越来越多.提高合成孔径雷达抑制干扰能力,是保证SAR成像性能的重要条件.该文分析了常见的窄带干扰(NBI)的特性,并提出了一种基于回波数据特征子空间滤波的干扰抑制方法.结合仿真数据和实测数据的处理表明该方法可有效地抑制窄带干扰.Abstract: With the fast development and extensive application of Synthetic Aperture Radar(SAR), There are more and more interference and jamming to SAR. It is necessary to assure performance of SAR imaging to enhance the ability of interference suppression. This paper analyzes the characteristics of the common Narrow Band Interference (NBI). A new approach for NBI suppression is proposed, which uses eigen-subspace based filtering on the echo data of SAR. Simulation results of SAR show that the proposed approach can suppress the NBI effectively.
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