为了解决无线网络信号在传输过程中由于受到其他信号的干扰,导致接收端接收的信号与原始信号相比存在误差的问题,本文在利用数据关联和卡尔曼滤波对信号进行融合的基础上,提出了一种新的信号状态融合方法(signal fusion based on wavelet transform and date association,SFTD),该方法利用FARIMA(p,d,q)模型和数据关联来建立一种新的信号融合算法。通过仿真实验研究了信号发送速率与干扰信号功率之间的关系,仿真结果说明,SFTD算法比FSWC算法具有更好的信号状态融合准确性;并且发送速率、功率对融合信号也产生较大影响。 In order to solve the problem that the signal received by the receiving end has errors compared with the original signal due to the interference of other signals during the transmission of the wireless network signal, based on the fusion of the signal by using the data association and the Kalman filter, A new signal fusion method based on wavelet transform and date association (SFTD) is proposed. This method uses FARIMA (p, d, q) model and data association to establish a new signal fusion algorithm. The simulation results show that the SFTD algorithm has better signal state fusion accuracy than the FSWC algorithm, and the sending rate and power have a greater impact on the fusion signal.