Research On Data Fusion Algorithm In Wireless Sensor Network

The wireless sensor network is composed of a large number of sensor nodes deployed in a specific area,which can sense,collect and process data in time,and communicate with a single hop or multi hop way.As the core technology of wireless sensor network,data fusion technology is the use of computer to obtain the data of the time series of observation information,in a certain criteria to be automatically analyzed,integrated processing,to complete the required decision-making and assessment tasks.The study of data fusion is based on the data acquired by the radar to the air moving target as the research background in this paper.The data acquired by the radar to the air moving target has the following characteristics: The data acquired by the radar is expressed in the form of polar coordinates in the center of its own coordinates,which is not easy to directly calculate the motion trajectory;Data may have a big error;The data will produce redundancy due to temporal and spatial correlation.To deal with these problems,an adaptive weighted data fusion algorithm is proposed in this paper,which is used to fuse the data acquired by multi radar data to improve the accuracy of real-time motion trajectory.Firstly,the radar data is pre-processed in this paper in order to make the radar data and the data from the fusion center to achieve the same and to get 3D coordinates of the target according to the data collected on the air moving target radar is represented by its coordinates for the center of the polar coordinates.Secondly,according to the data measured by the radar may have large errors,a data support matrix estimation fusion algorithm is proposed to remove the error data in this paper,which is the next step of adaptive weighted data fusion.Again,the redundant data are generated by the time and space correlation in the estimation of the target trajectory.In view of this,an adaptive weighted data fusion algorithm is proposed in this paper,it is the fusion of the data in time and spaceto get the optimal fusion estimation value.Finally,the Matlab simulation software is used to model and simulate the proposed adaptive weighted data fusion algorithm.The results show that the algorithm can get more accurate real-time measurement data and realize the real-time estimation of the high precision of the space target motion state.