多传感器在线自适应加权融合跟踪算法

针对多传感器机动目标的跟踪问题, 提出了一种多传感器在线自适应加权融合跟踪算法Z该算法依据估计的各传感器的方差的变化, 及时调整参与融合的各传感器的权系数, 使融合系统的均方误差始终最小, 从而能在线适应传感器性能改变Z 仿真结果表明, 该算法是一种有工程应用前景的融合跟踪算法Z
关键词: 数据融合; 自适应; 模糊推理; 目标跟踪
Abstract: Fo r the t rack ing of m aneuvering target s, an on2line adap t ive w eigh ted fu sion algo rithm fo r m u lt i2sen so r data is p resen ted. The algo rithm can adju st the fu sed sen so r’s w eigh t acco rding to changes in the sen so r’s variance, and the est im at ion erro r is kep t as of least m ean square. The algo rithm can adap t it self to the changes of sen so r’s character. Compu ter sim u lat ion resu lt s indi2 cate that the t rack ing algo rithm is very po ten t ial in p ract ical engineering system s.
Key words: data fu sion; adap t ive; fuzzy reason ing; target t rack ing