摘要
为解决多传感器群内目标精细航迹起始的难题,提出一种基于运动状态的集中式多传感器群目标精细航迹起始算法,算法首先基于循环阈值模型和群中心点完成群的预分割、预互联,然后将预互联成功的群按传感器不同分成多个子群,基于非抢占式修正逻辑法和同状态航迹子群获取模型剔除单传感器形成的虚假航迹,并基于多传感器同状态群关联模型消除各传感器虚假的同状态航迹子群,最后基于加权法实现同状态关联群内航迹的精细互联及合并。仿真数据表明,与分布式多传感器修正逻辑法、基于聚类和Hough变换的集中式多传感器多编队航迹起始算法相比,算法在起始真实航迹、抑制虚假航迹及杂波鲁棒性等方面综合性能更优。
Aiming to solve the muhi-sensor group target refined track initiation problem, a centralized multi-sensor group target refined track initiation algorithm based on moving state is proposed. In this algorithm, the preparatory group division and association are done based on the circulatory threshold model and the group centers at first. Second, many subgroups are obtained from the associated groups based on different sensors. The false tracks based on the subgroups from the same sensor are eliminated with the non-exclusive modified logic algorithm and the same-state track group obtainment model. The false same-state track subgroups of the sensors are also removed with the multi-sensor same-state group association model. Finally, the track refined association and combination are implemented by using weighted algorithm. The analysis results of the simulation data show that as far as the true track initialized, the false track restraint and the roubustness to the clutter are concerned, the general performance of this algorithm is better than those of the distributed muhi-sensor modified logic algorithm and the centralized multi-sensor multi-formation track initiation algorithm based on clustering and Hough transform.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2012年第11期1690-1698,共9页
Journal of Astronautics
基金
国家自然科学基金(61032001)
关键词
集中式多传感器
群目标
同状态航迹子群获取模型
多传感器同状态群关联模型
精细航迹起始
Centralized multi-sensor
Group target
Same-state track group obtainment model
Multi-sensor same- state group association model
Refined track initiation
