基于NETDDE的网络式多传感器信息融合Kalman滤波器  

Network Multisensor Information Fusion Kalman Filter Based on NETDDE

作　　者：王欣 朱齐丹[1] 孙书利[2] 

机构地区：[1]哈尔滨工程大学自动化学院,哈尔滨150001 [2]黑龙江大学自动化系,哈尔滨150080

出　　处：《科学技术与工程》2008年第24期6607-6611,6443,共5页Science Technology and Engineering

基　　金：国家自然科学基金(60504034);黑龙江省教育厅重点实验室和黑龙江大学自动控制重点实验室项目(DZZD2006-17)资助

摘　　要：Kalman滤波算法是目前应用较多的多传感器信息融合方法之一,其中的分布式Kalman滤波算法因其计算负担小、易进行故障诊断和分离的突出优点而广泛应用于民事和军事领域。用具有强大矩阵运算能力和绘图功能的MATLAB作为核心处理部分,以网络DDE技术实现MATLAB与Excel的通信,编写了网络DDE通用程序,该程序可以使不同地理位置的传感器采集来的存于各客户端Excel的观测值传入服务器MATLAB,通过分布式Kalman滤波融合算法进行处理,方便地解决了网络式多传感器信息融合这一实际应用问题。Kalman filtering algorithm is one of multisenor information fusion methods applied in many fields at present. Among these methods, Distributed Kalman filtering algorithm is applied widely in civil and military affairs because of its advantages, less computing burden and easy fauh diagnosis and isolation. MATLAB is a core processing part, which has strong matrix operation competence and powerful plotting function. The communication between MATLAB and Excel is realized by NetDDE technique, and the NetDDE general program is edited . The NetDDE general program makes the observation values transferred to Server MATLAB, which are collected by the sensors in different places and stored in Client Excel, then processed by Kalman filtering fusion algorithm, so that the network multi-sensor information fusion problem in practice is resolved conveniently.

关 键 词：多传感器信息融合 MATLAB与Excel的接口函数 NETDDE技术 

分 类 号：TN915.04[电子电信—通信与信息系统]