基于混合积累的VSAR地面运动目标检测和定位

Detection and Location of Ground Moving Target in VSAR Based on Hybrid Integration

基于多通道复图像联合处理,速度合成孔径雷达(VSAR)可有效抑制地物杂波,实现地面运动目标检测和定位。但运动目标图像散焦和速度模糊也限制了VSAR的微弱目标检测性能,同时导致了快速目标的方位定位模糊问题。为此,提出了基于距离-多普勒-速度域混合积累的VSAR运动目标处理新方法,显著改善了微弱运动目标检测性能,并可实现快速目标的速度解模糊和正确定位。新方法无需改变VSAR的系统结构,工程实用价值高。最后,数值仿真实验的结果证明了新方法的有效性。

Based on the joint multi-channel processing in the complex image domain, velocity synthetic aperture radar（VSAR） may effectively suppress the strong ground clutter and realize the ground moving target detection and location. Nevertheless, the problems like image defocus and velocity ambiguity will affect the weak target detection performance and cause the azimuth mis-location for the fast moving target. This paper proposes a novel VSAR signal processing algorithm for moving target detection by using the hybrid integration in the range-Doppler-velocity domain. The proposed algorithm can effectively improve the detection performance for weak targets and solve the velocity ambiguity problem to correctly locate the moving target in the azimuth direction. The proposed method has high engineering application value without the change of VSAR system configuration. Finally, numerical experiment results are also provided to demonstrate the effectiveness of the proposed method.