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Multi-sensor cross cueing algorithm basing on the game theory

PANG Ce, HUANG Shucai, LIU Jinchang, ZHAO Wei   

  1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
  • Online:2017-07-25 Published:2010-01-03

Abstract:

The use of multi-sensor crossing cueing technology on target detecting is studied. Firstly, the sensor network model with the symbol of community and the distributed sensor management basing on multi-agent technology are built. The conditions and types of multisensor crossing cueing are analyzed. Secondly, the sensor efficiency function is raised. Finally, the multi-sensor crossing cueing algorithm basing on game theory is designed. The simulation result indicates that the model conforms to the reality of battles, and the alliance of sensors can be made to find, track and handover targets by this algorithm. Compared with the auction algorithm and the bee colony algorithm, the result of the game algorithm is better, the rate of convergence of the game algorithm is improved, so it is more appropriate to be applied in instant battles.

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