By the modern time series analysis method, based on the autoregressive moving average(ARMA) innovation model, the multisensor single channel optimal information fusion Wiener filter is presented under the linear minimum variance fusion criterion for single channel ARMA signals with white observation noise. It can handle the filtering, smoothing and prediction problems in a unified framework. Compared with the single sensor case, the accuracy of the filter is improved. Its algorithm is simple and suitable for the real time applications. A simulation for a tracking system shows its effectiveness.