基于反馈结构的多传感器自适应航迹融合算法

在分布式多传感器信息融合系统中，自适应融合算法通过预先设定两个距离测度。然后将它们与逻辑判决树中的阈值进行比较来选择不同的融合算法，达到适应系统特性的不断变化，平衡精度与计算量之间矛盾的目的；反馈结构可用来提高局部节点的跟踪性能，进而提高全局航迹的融合精度．综合上述两种方法，提出一种新的基于反馈结构的多传感器自适应航迹融合算法，并在传感器异步的情况下讨论了其具体的计算过程．仿真结果表明该算法以较小的计算量达到了近似加权协方差算法（WCF）的融合精度．

Adaptive Algorithm for Multisensor Track Fusion with Feedback Architecture

The adaptive fusion algorithm, in the multisensor data fusion system with distributional structure, can select different methods based on the comparison between two distance measurements defined in advance and thresholds of logic tree. It may satisfy the characteristic of the changed fusion system and balance the contradiction between the fusion precision and computational burden. The feedback architecture may enhance the tracking performance of local sensor. Synthesized the merit of two methods above, the authors put forward a new method for multisensor track fusion with feedback information, and the concrete process of the track fusion algorithm is introduced in the situation of asynchronous in detail. The simulation result illustrates that this new algorithm approaches the Weighted Covariance Fusion(WCF) method in the fusion precision, with the less computational burden.