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基于MGEKF的被动声纳目标探测数据融合仿真模型开发
引用本文:王彦恺,丁艳.基于MGEKF的被动声纳目标探测数据融合仿真模型开发[J].鱼雷技术,2010,18(1):35-40.
作者姓名:王彦恺  丁艳
作者单位:北京理工大学,宇航学院,北京,100081
基金项目:水下信息处理与控制国家级重点实验室基金资助 
摘    要:针对水面舰编队联合反潜战中目标探测数据融合建模的需求,研究了被动声纳目标探测的修正增益卡尔曼滤波算法,设计了一种在分布交互仿真系统中使用Simulink滤波模型的方法,采用了共享内存技术和Simulink的S函数作为接口与Simulink模型进行数据交互和同步,完成了基于Simulink的角测量系统的被动声纳探测数据融合仿真模型开发。仿真结果表明,该数据融合仿真模型可满足分布交互仿真系统实时性要求。

关 键 词:分布交互仿真系统  被动声纳  数据融合  目标跟踪  共享内存  卡尔曼滤波  修正增益扩展卡尔曼滤波(MGEKF)

Data Fusion Simulation Model of Passive Sonar Target Wake Tracing Based on MGEKF
WANG Yan-kai,DING Yan.Data Fusion Simulation Model of Passive Sonar Target Wake Tracing Based on MGEKF[J].Torpedo Technology,2010,18(1):35-40.
Authors:WANG Yan-kai  DING Yan
Affiliation:(School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China)
Abstract:Aiming at the demand of data fusion modeling of target tracing for anti-submarine warfare, a method of integrating the Simulink model into distributed interactive simulation system is presented. To realize the synchronization and data interaction, shared memory and S-function in Simulink are used for data communication. A data fusion simulation model of passive sonar target tracing for only angle measurement system is hence established based on Simulink. Simulation results show that the data fusion simulation model can meet the real-time requirement of distributed interactive simulation system.
Keywords:distributed interactive simulation system  passive sonar  data fusion  target tracing  shared memory  Kalman filter  modified gain extended Kalman filter(MGEKF)
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