摘要
重点研究多传感器协同探测对多目标的跟踪问题。首先,根据观测几何分析双星协同探测的可观测性建立基于重力转弯模型的主动段状态方程和观测方程;其次,针对多目标跟踪情形中的航迹交叉跟踪异常问题,提出基于二元多项式思想的SME滤波算法;最后,为提高目标跟踪精度,提出基于迭代思想的改进无迹卡尔曼滤波算法。仿真结果表明:采用基于二元多项式思想的测量方程(BPGM-SME)算法对多个目标跟踪都能分别得到较好的跟踪效果,与扩展卡尔曼滤波(UKF)算法相比,改进算法能够取得更好的收敛性效果,跟踪精度也更高。
The problem of multi-sensor detecting and multi-target tracking was mainly studied. Firstly, the observability was analyzed according to the detecting geometry of double satellite, and the state equations and measurement equations were established according to the turning model based on gravity. Secondly, for the problem that fight path tracking abnormity exists in the situation of tracking multi-target, the SME filter algorithm based on binary polynomial was raised. Finally, in order to improve the tracking accuracy, the improved UKF algorithm based on the iteration was raised. The simulation indicates that all targets can be well tracked with the BPGM-SME algorithm. Compared with UKF algorithm, the improved UKF algorithm can get better convergence effect, and the tracking accuracy is better.
出处
《红外与激光工程》
EI
CSCD
北大核心
2017年第B12期96-103,共8页
Infrared and Laser Engineering
基金
国家自然科学基金(61503408)
