Airborne sensor management and target tracking based on market theory

In order to solve the problem of combat aircraft sensor management for multi-target attacking, a method of airborne sensor management and multi-target tracking based on market theory is proposed. Firstly, targets in battlefield are divided into clusters, then the targets are scanned and tracked in the manner of clusters by airborne sensor, the center points and sizes of sensor scanning sectors are determined by the position of the target clusters, then the problem of target allocation and sensor management is transformed into a optimal problem of market theory, mission planning model is established based on highest performance-price-ratio, then the problem of sensor-target assignment is solved using marketing combinatorial auction algorithm. Simulation results demonstrate the effectiveness of the method, the conclusion of the study is helpful to improve the combat aircraft in offensive efficiency, thereby enhance the overall attacking ability.

[1]  David L. Hall,et al.  An experimental study on agent learning for market-based sensor management , 2009, 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making(MCDM).

[2]  David L. Hall,et al.  A Market-based Approach to Sensor Management , 2009, J. Adv. Inf. Fusion.

[3]  Phani Chavali,et al.  Managing Multi-Modal Sensor Networks Using Price Theory , 2012, IEEE Transactions on Signal Processing.

[4]  David L. Hall,et al.  Customer-Driven Sensor Management , 2006, IEEE Intelligent Systems.

[5]  Kenneth J. Hintz,et al.  Information theoretic approach to sensor scheduling , 1996, Defense, Security, and Sensing.

[6]  Ignacio Melgar,et al.  Cooperation and competition based on free market in swarm system architectures for air defense , 2009, 2009 35th Annual Conference of IEEE Industrial Electronics.