摘要
地面目标的强机动性和背景环境的复杂性,使得传统关联方法的目标分布类型和先验概率不易获得,且传统方法仅利用状态信息进行关联,导致目标关联正确率不高。针对这些问题,采用无需先验假设的灰色关联方法,在状态信息的基础上引入属性信息,共同作为灰色关联的多个特征指标,并利用最大离差法确定指标权重。仿真结果表明这里的算法有效地改善了关联正确率,增大关联区分度,满足实时性要求。
It is not easy to obtain distribution types and prior probability of ground targets because of strong mobility and complex background environment.The targets association accuracy is low only with state information by traditional method.Aiming at the above problems,the grey correlation method without any prior assumptions is adopted,and the state and attribute information is taken as the multi-feature indexes,and the maximum deviation method is employed to determine the index weights.The simulation results indicate that the algorithm described in this paper could effectively improve association accuracy,naise association distinction and meet the real-time requirement.
出处
《通信技术》
2011年第9期132-134,共3页
Communications Technology
关键词
地面目标
灰色关联法
多特征
最大离差法
ground target
grey correlation
multi-feature
maximum deviation method
