【摘要】 机动目标跟踪结果在时间轴上的滞后问题是当前机动目标跟踪领域的一大难点。产生时滞的情况很多，一般在跟踪初期和发生较大机动的时间段内尤为明显，常常会因此出现误差高峰。如果能有方法抑制或者消除时滞现象，将能显著提高跟踪效果。从仿真实验的结果和现象入手，结合卡尔曼滤波理论、交互式多模型算法和现代神经网络模型对时滞问题进行剖析，根据跟踪各个阶段情况的变化，分析时滞产生的不同原因，并提出可能的解决方法，以期为提高机动目标跟踪效果提供参考。更多还原

【Abstract】 The lag of maneuvering target tracking results on the time axis is a major difficulty in the field of maneuvering target tracking. There are many cases of time delay, which are especially obvious in the early stage of tracking and the time period when a large maneuver occurs, and there is often a peak of error because of this, if there is a way to suppress or eliminate the time delay phenomenon, the tracking effect will be significantly improved. Starting from the results and phenomena of simulation experiments, combined with Kalman filter theory, interactive multi-model algorithm and modern neural network model, this paper will deeply analyze the time delay problem, and obtain different causes of time delay according to the changes of each stage of tracking and give corresponding solutions, so as to provide reference for improving the tracking effect of maneuvering targets in the future.更多还原