中文摘要：

针对SNR≤2dB的弱目标的检测问题，提出基于贪心原则的边检测边跟踪算法．通过可扩展节点完成状态更新，然后沿着航迹进行能量的累加，最后利用似然比检验确定目标．预处理阶段设计的时空滤波器，一方面通过混合核估计的空域滤波器去相关杂波，另一方面通过沿着时间轴的投影分割抑制噪声，将搜索空间压缩了80％以上．此外利用非参数统计理论对残差图像进行了独立性与正态性的验证．通过与传统的动态规划方法的实验对比分析表明，该算法的时间复杂度可以降低到mn，不仅具有速度上的优势，而且还可以保证比前者更高的检测率和更低的虚警．

英文摘要：

Aiming at the detection of dim targets with SNR≤2dB, Track before detection method based on greedy principle is presented. The state update is completed by choosing an extended node and the energy is accumulated along the trajectory. Finally the target is identified according to likelihood ratio test. In pre-processing stage, spatial-temporal filter is designed. On one hand, clutter is de-correlation based on compound kernel estimation spatial filter; On the other hand, noise is restrained via projection along time axis, the searching space is reduced about 80%. Furthermore, the independence and normality of residuals after kernel estimation are tested in nonparametric statistical theory. The comparison experiments with traditional dynamical programruing algorithm show that the time complexity can reduce to rnn. It not only has the predominant in time but also has higher probability of detection and lower false alarm than the former.