基于HAF的参数化SAR宽带干扰抑制

摘要

Wideband interference (WBI), as one of the common forms of interference in synthetic aperture radar (SAR), significantly reduces the quality of SAR images and is always difficult to tackle.For the problem that the WBI is difficult to identify, a WBI recognition method based on the statistical feature of adjacent pulses is presented firstly.Based on that, a novel parameterized WBI suppression method for SAR imaging is proposed.First, WBI signal is modelled as a polynomial phase signal (PPS), and then the high-order ambiguity function (HAF) as well as the corresponding aliasing resolved method are adopted to estimate the coefficients of PPS.According to obtained coefficients, the WBI signals can be transformed into narrowband interference (NBI) signal, and then the exis-ting NBI suppression method can be utilized to remove interference of echo signal.Finally, the computer simulation results and the measured data processing results show the effectiveness of the proposed method.%宽带干扰(wideband interference, WBI)是合成孔径雷达(synthetic aperture radar, SAR)中常见的干扰形式之一,它的存在极大地损害了SAR图像的质量,且WBI抑制一直是SAR干扰抑制中的一个难题.首先,针对WBI难以识别的问题,本文提出一种基于相邻脉冲统计特性的WBI识别方法;然后,在此基础上给出一种新的参数化SAR宽带干扰抑制方法,该方法首先把宽带干扰建模为多项式相位信号(polynomial phase signal, PPS),进而利用高阶模糊函数(high-order ambiguity function, HAF)以及相应的解模糊的方法来精确估计PPS的相关参数,从而将WBI信号转化为窄带干扰(narrowband interference, NBI)信号,然后利用现有的NBI信号抑制方法得到去除干扰后的回波信号;最后,计算机仿真结果和实测数据处理结果验证了本文提出方法的有效性.