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This paper propose a new fusion method (Signal Fusion based on signal Wavelet transform and Date Association, SFWD), its purpose is to performance issues by the signal generated by the influence of interference resolution process in the wireless network transmission. Firstly, based on wavelet transform reduces the long correlation signal, and using Kalman filtering and data association based fusion algorithm. At the same time, the relationship between signal and interference factors were studied by comparing the experimental simulation, the results show that the method has a certain degree of adaptability, the error between the fusion results with the original signal is 7.13.

A new mix together algorithm for wireless network state