Information Fusion of Two Redundant Sensors Based on Time

To improve the reliability of the vehicle control system of a large scale weapon system, a scheme of adopting sensor redundancy is proposed. The structure of the redundancy adopts parallel redundancy and the dimensions of it are two. To solve the problem of dualistic decision with almost equal probability, a trapezium probability distribution function which well solves this problem is constructed. This distribution function proposed based on the idea that the implementation time contains a lot of system information which is useful to judge the system state rightly. By this function, when both sensors give position signals, neither sensors give position signals, and only one sensor gives position signal the reliability of the system is improved remarkably. This design is validated in the hardware-in-the-loop model and the result is satisfied.