基于小波熵的组合定位系统数据融合

Integrated Navigation System Data Fusion Based on Wavelet Entropy

文中提出了一种基于小波熵的组合定位系统数据融合方案。对于两个子系统北斗/罗兰C的实测定位数据,先用小波多尺度变换将信号在多个频率段展开,再根据小波熵判别法进行消噪和融合。结果用平均误差证明了这种方法的优越性,确保了组合系统所用样本的可信度及其数据融合中权值的合理性。

In this paper we proposed an integrated navigation system data fusion scheme which is based on wavelet entropy. Integrated navigation system with original positioning data gotten from the two sub-system of Beidou/Loran-C , we used multi-scale wavelet transforms to expand signals in multi-frequency range then suppressed noises and fused data according to wavelet entropy discriminance. Finally, the result is tested by the method of average error. The study shows that this scheme has advantages, it can improve reliability of this system and ensure rationality of weight in data fusion.