基于信道丢包补偿技术的多源信息融合研究

在多传感器融合网络中,由于网络本身的内在特性以及受实际应用环境的影响,在数据传输过程中丢包现象经常发生,大量有用的信息丢失直接影响了融合算法的正常运行.现有的一些处理网络丢包现象的方法都是直接将丢包的传感器排除在融合操作之外,因此整个系统的融合精确度大大降低.针对上述问题,提出利用基于最小二乘的多项式拟合技术,对丢失的传感器信息进行近似补偿,从而提出一种基于信道丢包补偿技术的数据融合算法.另外,考虑到集中式融合存在的高计算复杂度的特性,基于信息更新的分布式融合算法被用来融合所有传感器的信息,性能分析和计算机仿真显示了新算法的有效性.

Study of multi-source information fusion based on compensation for lossing packet in communication channel

Communication network for multisensor system often produces lossing data in the process of transmitting local information from sensor to the central processor because of it intrinsic property.The traditional method to deal with missing data is to abandon it in the fusion process,so the fusion accuracy is reduced.Aimed at this problem,by introducing least square based on polynomial-mimesis technology to approximately compensate lossing packet in the communication channel,a new information fusion algorithm is presented.AS the computational real-time performance of centralized fusion method is not good,an information-update based and distributed fusion algorithm is given to fuse the data from all sensors.The computer simulation and theoretical analysis are used to show the practicability and advantage of the proposed fusion method.