基于凸组合和Bar-Shalom-Campo的航迹融合算法研究

在“当前”统计模型的基础上建立了匀加速运动模型，设定了目标的运动过程，考虑到实际应用的局限，利用自适应扩展卡尔曼滤波（AEKF）对目标的运动状态进行估计。为得到更加精确可靠的信息，利用凸组合融合算法和Bar-Shalom-Campo融合算法对目标航迹进行融合估计，并利用这三种方法对设定目标的运动情况进行仿真估计，给出仿真结果。

Research of track fusion based on convex combination and Bar-Shalom-Campo.

On the basis of the ＂current＂ statistical model uniformly accelerated motion model is established. It sets the tar- get movement process, considers the limitation of practical application, uses adaptive extended Kalman filtering to esti- mate target motion state. To obtain a more accurate and reliable information, by using convex combination fusion algo- rithm and Bar-Shalom-Campo fusion estimation of target track fusion algorithm, it sets a goal of movement simulation by using these three methods, estimates the simulation and shows the results.