The study on the application of multi-sensor cross cueing technology in sensor alliance was conducted
where multi-sensor cross cueing technology is used to build and update sensor alliances to solve the problem of dynamic control of sensor alliances. When building a sensor alliance
the objective function is built aiming at saving sensor resource and enhancing the resource utilization; and when updating a sensor alliance
the sensor management structure predict then update is presented. The multi-sensor cross cueing distributed algorithm based on multi-dimensional consultation was designed for resolving and updating the sensor alliance scheme. The simulation results indicate that the model in this paper is effective. Compared with auction algorithm and particle swarm
the convergence rate of the algorithm proposed in this paper is the fastest and with better results. Compared with the method of detect
then update the method of predict then update is more suitable to the condition where the combat situation often changes quickly.
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references
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