基于法向前边界响应的SAR目标方位角估计

为了提高合成孔径雷达(synthetic aperture radar, SAR)自动目标识别系统的性能，提出了一种新的SAR目标方位角估计方法。利用简单的自适应阈值处理提取目标区强散射点，通过对强散射点在不同方向上投影分布的分析，定义法向前边界响应强度作为方位角估计的依据，最后对个别不可信结果进行90°校正。在运动和静止目标获取与识别（moving and stationary target acquisition and recognition, MSTAR）公开数据集上进行了实验，采用该方法99%的样本估计误差小于10°。实验结果表明，该方法可以达到与主导边界拟合法相当的最优性能，而且处理流程简单，计算效率更高。

SAR target aspect estimation based on normal front edge response

In order to improve the performance of the synthetic aperture radar (SAR) automatic target recognition system, a new method is proposed for target aspect estimation. A simple adaptive threshold processing is used to extract the strong scatters in target area. By analysis on the projection distribution in different directions of the strong scatters, the normal front edge response is defined and used as a basis of the aspect estimation. The 90 degree correction is carried out on several unreliable results in the last step. Experiments are conducted on the moving and stationary target acquisition and recognition (MSTAR) public data set, and the estimating errors are less than 10 degrees for 99% of the samples using the new method. According to the experimental results, the proposed method can achieve the optimal performance compared with the major edge fitting method, while has simpler processing flow and higher computing efficiency.