Data Information Fusion of Heterogeneous Network Based on Combined Kalman Filtering
information fusion is an important means of heterogeneous network data,the current method fusion effect is not ideal,in practical application after fusion data value and real value exist big gap,LSE value is larger,according to the current method of defects and deficiencies based on joint Kalman filter heterogeneous network data information fusion method.Outlier in heterogeneous network data identification,the interpolation method for abnormal data repair,field in heterogeneous network data identification and correction,and the time registration of heterogeneous network data,using joint kalman filtering algorithm estimate heterogeneous net-work data optimal value,eliminate data sampling error and noise,the different data source heter-ogeneous network data information fusion,to realize the heterogeneous network data fusion based on combined data fusion kalman filter.It is proved that under the application of the design method,the fusion data value is close to the true value,and the LSE value is below 0.1,which has a high information fusion accuracy,and has a good application prospect in the field of heter-ogeneous network data information fusion.
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