基于压缩感知的SAR宽带干扰抑制方法

压缩感知合成孔径雷达成像能够利用较少的观测数据清晰的恢复目标图像，但当回波中存在宽带压制干扰时，会严重破坏场景稀疏性，造成成像质量恶化。研究了一种基于选择性测量的自适应压缩感知宽带压制干扰抑制方法，通过构造一种压缩域投影滤波器并结合噪声联合检测算法，自适应感知干扰的位置信息，对合成孔径雷达（SAR）回波信号进行选择性测量，从“源头”上避免了干扰对SAR目标回波信号稀疏性的影响。仿真结果表明，该方法在减少SAR系统处理数据量的同时，使SAR成像质量明显提高，证明了该方法的有效性。

Method of SAR broadband jamming suppression based compressed sensing

Synthetic aperture radar (SAR) imaging which use compressed sensing (CS ) technology able to restore thetarget image clearly by using less observations date , but the presence of broadband suppress jamming in the echoeswould seriously undermine the sparsity of the scene , resulting in deterioration of image quality . Study an suppression method of broadband suppress jamming by using adaptive compressed sensing which based on selective measurement ,the method by constructing a compressed domain projection filter and combined with noise joint detection algorithm to perceived the positional information of interference adaptively ,then to selection measurement of the SAR echo signal ,and to avoid the influence of interference on the sparsity of SAR echo signal from the "source".The simulation results show that this approach not only reduces the amount of data processing of SAR system ,at the same time ,making the quality has improved significantly of SAR image ,proved the effectiveness of this method .