SAR ATR Algorithm Based on CSAR Raw Echo Modeling
基于目标CSAR回波模型的SAR自动目标识别算法

Template-based ATR algorithm needs the storage of massive templates of the targets, which cause a heavy burden of system design and algorithm optimization. On the contrary, model-based algorithm can overcome this drawback and become a promising solution of the next generation ATR system. A new algorithm based on CSAR raw echo of the targets is proposed by applying the SBR (Shooting and Bouncing Rays) method onto the 3D CAD model of the targets, then the recognition procedure is completed via online prediction of the hypothetic targets. The predicted SAR image of the target is more accurate and efficient comparing with the traditional scattering center approach. The simulate experiments validate the proposed method and compare it with the traditional methods.