多传感器交叉提示技术及其在目标跟踪中的应用

Multi-Sensor Cross Cueing Technology and Its Application in Target Tracking

针对传感器交叉提示在目标跟踪中的应用问题,围绕如何通过传感器交叉提示技术实现"传感器资源管理"、"提高目标跟踪精度"和"实现目标交接"展开研究,提出传感器网络效能评价函数,分析不同类型的交叉提示发生的时机与条件,设计基于博弈论的多传感器交叉提示算法,并提出基于假设检验理论的传感器博弈策略调整方法。仿真结果表明,本文提出的多传感器交叉提示模型符合实际作战场景,能够顺利实现传感器管理、提高目标跟踪精度和进行目标交接,与粒子群算法、合同网算法和拍卖算法相比,博弈论算法具有较好的求解质量,收敛速度明显提高。

For the application of the multi-sensor crossing cueing technology to target tracking, how to manage the sensors, improve the tracking accuracy and transfer the targets by using the multi-sensor crossing cueing technology is taken into consideration. The energy consumption function of the sensors is raised. The time and requirements of different types of the cross cueing are analyzed. The multi-sensor crossing cueing algorithm based on game theory is designed, with the adapting method of gaming strategy based on hypothesis testing being raised. Simulation result indicates that the proposed model conforms to the battles reality, and by the game algorithm, the tasks of managing sensors, improving the tracking accuracy and transferring targets can be completed. In comparison with the particle swarm algorithm, contract net algorithm and auction algorithm, the game algorithm has better result and its convergence rate is improved.