A novel estimated algorithm for information fusion on MMW/IR dual mode combined seeker

Based on nonstationary random process with variance stationary and mean value with trend, a adaptive weighted fusion estimated algorithm is presented to fuse MMW/IR Combined seeker data in this paper. The nonstationary random process is transformed to the stationary random process by first difference, which is used for estimating measured data variance. Finally, observations are fused through the weighed fusion estimation algorithm. Simulation indicate that this algorithm is simpler, practical and its convergence speed is faster.