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多传感器航迹数据融合的机载火控系统
引用本文:葛银茂,韩兆福,陈遵银,金石娇.多传感器航迹数据融合的机载火控系统[J].中国测试技术,2006,32(4):59-60,112.
作者姓名:葛银茂  韩兆福  陈遵银  金石娇
作者单位:海军航空工程学院青岛分院航空军械火控系,山东,青岛,266041
摘    要:为研究机载火控系统多传感器数据融合的方法。采用了基于多目标多传感器航迹数据融合的改进的卡尔曼滤波算法,运用假设检验理论,充分考虑了位置数据互联的正确性和目标信号的历史信息,使其性能不随目标数目的增大而变差。计算机仿真表明:所建立的系统操作方便,运行可靠,性能价格比高;所采用的算法具有处理速度快、精度高等优点。

关 键 词:多传感器  数据融合  火控系统
文章编号:1672-4984(2006)04-0059-02
收稿时间:2005-05-27
修稿时间:2005-05-272005-08-16

Research on flight-path data amalgamation of multi-sensor aerial fire-control system
GE Yin-mao,HAN Zhao-fu,CHEN Zun-yin,JIN Shi-jiao.Research on flight-path data amalgamation of multi-sensor aerial fire-control system[J].China Measurement Technology,2006,32(4):59-60,112.
Authors:GE Yin-mao  HAN Zhao-fu  CHEN Zun-yin  JIN Shi-jiao
Affiliation:Qingdao Branch,Naval Aeronautical Engineering Academy,Qingdao 266041,China
Abstract:To research the methods of data amalgamation for multi-sermor fire-control system, a improved kalman filtering algorithm was adopted.The algorithm.based on the probability of correct location data association and historical data of the targets.A recurrence algorithm was given.The simulation rsults show that the system ran reliably and the algorithm has many virtues such as high speed and precision.
Keywords:Multisensor  Data amalgamation  Aerial fire-control system
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