ICA在合成孔径雷达抗噪声干扰中的应用研究

ICA application to anti-noise jamming of SAR

将ICA(Independence Component Analysis)消噪原理应用于合成孔径雷达抗噪声干扰技术中,用噪声信号和受到干扰的SAR回波数据作为扩展的虚拟观测信号,对扩展的多维加噪观测信号进行分离,得到源雷达回波信号,从而实现噪声的有效消除。通过对条带式SAR点目标成像进行仿真试验,结果表明这种消噪方法在消除SAR噪声干扰中是有效的。

Based on the denoising principle of the independent component analysis （ICA） a new anti-noising jamming of the SAR method is proposed in order to remove the noise jamming mixed in the echo of Synthetic-Aperture Radar （SAR）. By using the noise jamming signal and the echo data of the SAR as the extension of the artificial observed signal the source echo of the SAR is separated and obtained. In this way the noise jamming can be effectively removed, The simulated stripSAR point target imaging experiment is carried on. The results show that this way is effective in removing the noise jamming mixed in the echo of the SAR.