摘要
为了将国外多传感器融合技术引用到雷达网系统中，本文对国外多传感器数据融合技术做了简要叙述，并进行了归纳、分析。作者认为在卡尔曼滤波前，对多个传感器的观测数据进行并行的预处理（融合估计）的算法比其他融合算法要好。为了找到使跟踪精度更高的数据融合算法，本文不仅就参与融合的观测值的数目与跟踪精度的关系进行了仿真比较，而且对几种认为可取的国外算法进行了扩展与改进。最后，将改进后的几种融合算法就其应用于雷达网后的跟踪精度进行了大量的仿真比较。结果表明，改进后的算法明显优于改进前的算法。
Multisensor data fusion algorithms from abroad are briefly described and summed up and analyzed in this paper to introduce them into the multiradar tracking network. This algorithm by which the multisensor measuring data are processed in parallel before filtering is considered to be better than any others. To find a data fusion algorithm of high tracking accuracies, not only the relation between tracking accuracies and the number of fused data is simulated and compared, but also some of the desirable algorithms are improved and extended. Finally, theses tracking accuracies of multiradar network resulting from every improved algorithm are simulated and compared. The conclusion of the simulation and analysis indicates that the improved algorithms are evidently better than the original ones.
出处
《南京航空航天大学学报》
CAS
CSCD
1995年第5期641-649,共9页
Journal of Nanjing University of Aeronautics & Astronautics
