【摘要】 提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法 .相比较于传统的梯度下降算法 ,该方法充分利用了假设的杂波图像模型 ,并且算法中也没有影响检测性能的步长参数 ,因而具有更好的检测性能 .实验表明 ,该方法能有效地抑制杂波 ,并同时增强小目标的信号 .更多还原

【Abstract】 A small target detection method using Kalman filter as the clutter background prediction was presented. Compared with the conventional gradient descent algorithm, the proposed scheme possessed better detection performance thanks to the supposed clutter image model. It had no stepsize parameter affecting detection performance. Experiments showed that the clutter could be suppressed and the signal of targets enhanced at the same time by the proposed detection scheme.更多还原