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论文深入研究了基于通道对消处理的SAR快速运动目标检测、定位和速度估计技术。基于双通道杂波对消对快速运动目标信号的的影响,提出将通道对消后的残差SAR图像反变换回距离压缩方位时域,通过Radon变换计算距离走动的斜率,得到径向速度估计,再利用keystone变换完成运动目标的距离走动校正。基于图像熵最小化准则,采用参数搜索法实现方位向聚焦,同时获得切向速度估计值,在实现二维聚焦的基础上完成快速运动目标检测,最后对所提出的快速运动目标检测方法进行了仿真验证。
The thesis deeply studies the SAR fast moving target detection, location and velocity estimation based on channel cancellation. Based on the influence of two-channel clutter on the cancellation of fast moving target signals, the residual SAR image after channel cancellation is inversely transformed back to the range of azimuth compression distance, and the gradient of distance walk is calculated by Radon transform to get the radial velocity estimation , And then use the keystone transform to complete the moving target distance walking correction. Based on the principle of minimum entropy of image entropy, the method of parameter search was used to realize the azimuth focusing, and the tangential velocity estimation was obtained. Fast moving target detection was accomplished based on two-dimensional focusing. Finally, the proposed fast moving target detection method Simulation.