摘要
针对多传感器机动多目标无源定位问题的目标数量多、定位难的特点 ,采用复合弹性系数神经网络模型对该问题进行建模 ,并进行组合优化 ,以期能利用多个传感器较准确地对多个机动目标进行无源定位与跟踪。仿真结果表明该模型能有效地锁定真实目标 ,当多个目标较分散或较集中时 。
In order to lock and track multiple random passive targets accurately by multi sensors, multiple elastic module is used to construct the model of this problem and optimize it. The model is expected to solve the difficulty of locking because of too many targets. The simulation results show the model can lock targets efficiently, and especially when the targets are decentralized or centralized, this model can also lock and track targets accurately.
出处
《华东理工大学学报（自然科学版）》
CAS
CSCD
北大核心
2001年第5期527-532,共6页
Journal of East China University of Science and Technology
