强杂波中无组合复杂性的极大似然联合跟踪与关联
Maximum Likelihood Joint Tracking and Association in a Strong Clutter without Combinatorial Complexity
摘要：
针对GMTI数据在强杂波环境下的极大似然联合跟踪与关联问题，提出了一种有效的算法。通过使用动态逻辑过程的迭代过程“从闪烁到闪烁”，新的跟踪器克服了在高度杂波的情况下跟踪的组合复杂性，并在信杂比的显着改善的结果。
英文摘要：
We have developed an efficient algorithm for the maximum likelihood joint tracking and association problem in a strong clutter for GMTI data. By using an iterative procedure of the dynamic logic process "from vague-to-crisp," the new tracker overcomes combinatorial complexity of tracking in highly-cluttered scenarios and results in a significant improvement in signal-to-clutter ratio.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
