摘要
多站测向交叉定位法是无源定位方法中应用较多的一种,但该方法易产生大量虚假定位点。针对这个问题,提出了一种新的快速数据关联算法,即首先采用粗关联排除部分虚假点,再利用三维分配算法进行细关联,求出近似最优解。该算法可以快速削减候选关联集合的数目,并可简化关联代价的计算。仿真结果表明,该算法能够快速、准确地排除虚假定位点。
In all methods of passive location, passive cross location of multiple sensors is very popular. However, this method will produce a lot of false intersection points. To solve this problem, a new fast da- ta association algorithm is presented which eliminates some false intersection points to decrease computa- tion burden. And 3D assignment algorithm is adopted to associate the bearing measurements so that the ap- proximate optimal solutions can be attained. This method can eliminate false intersection points more quickly and correctly by using data from the assistant sensor. Simulation results show that using the pro- posed algorithm can solve the data association fast and effectively.
出处
《传感技术学报》
CAS
CSCD
北大核心
2008年第7期1160-1163,共4页
Chinese Journal of Sensors and Actuators
关键词
无源定位
被动传感器
数据关联
虚假点
passive localization
passive sensor
data association
false intersection points
