穿墙SAR成像中的墙体参数误差分析和估计

Wall Parameter Error Analysis and Estimation for Through-the-wall SAR Imaging

穿墙合成孔径雷达(SAR)成像中,图像的质量和可靠性由墙体参数决定。墙体参数估计误差会造成图像散焦和目标位置的偏移。分析了墙体参数估计误差对成像的影响,提出采用乘积型高阶模糊度函数(Product High-order Ambiguity Function,PHAF)算法来估计墙体参数的新方法。仿真结果表明,该方法能获得聚焦的SAR图像和较准确的墙体参数估计值。

In through-the-wall SAR imaging,the quality and reliability of the image are governed by the knowledge of wall parameters.Estimation error in wall parameters smears the image,and also causes targets to be imaged away from their true positions.In this paper,the effects of wall-parameter error are analyzed and an autofocusing technique is presented.The technique is based on the Product High-order Ambiguity Function（PHAF） algorithm,which improves the estimation of wall parameters.Simulation results show that this method yields focused images of high quality and the obtained wall parameters are very close to their true values.