摘要
针对电子对抗领域中多传感器协同定位精度差、时延高、覆盖率低等缺点,提出了一种有效锚节点选取算法EAS,该算法可根据节点所处环境动态选择有效锚节点参与后期定位;在有效锚节点的基础上对经典的独立数据定位技术进行改进,提出了基于有效锚节点的多传感器测向测时协同定位算法LDTEAS,该算法可降低环境和敌方干扰等因素对定位产生的影响。仿真实验结果表明,相比于同类算法,该算法能有效地提高定位的精度和定位的覆盖率。
In this paper,we proposed an efficient anchor node selection(EAS)model for the problem of low precision,high delay and low coverage in the field of electronic countermeasure.According to the environment of sensor nodes,the model can choose the effective anchor nodes to participate in the target location.To improve the classical localization algorithm that is based on independent data,we proposed a multi-sensors direction-and-time co-localization algorithm based on efficient anchor-nodes(LDTEAS).This algorithm can effectively reduce the influence of the environment and the enemy's interference.Simulation results show that the proposed model can effectively improve the localization accuracy and localization coverage.
出处
《计算机科学》
CSCD
北大核心
2017年第S1期248-251,262,共5页
Computer Science
基金
国家自然基金项目(61572253)
国家自然科学基金青年科学基金项目(61202351)
国家博士后基金项目(2011M500124)资助
关键词
多传感器
算法
有效锚节点
测向测时协同定位
Multi-sensors
Algorithm
Efficient anchor-nodes
Direction-and-time co-localization