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The Sensors' Spatial-Temporal Allocation by Linear Programming in Multi-Fighter Cooperative Detection

机译:多字母合作检测中线性规划的传感器空间分配

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This paper focuses on spatial-temporal allocation of the sensors in multi-fighter cooperative detection. Airborne sensor must be coordinated efficiently to detect battlefield situation for finishing the operation which is regarded as main facilities to get scene information. According to the relationship between detection information and sensor performance, an allocation method by linear programming is proposed for improving the sensors' ability entirely. Firstly the parameters of sensor detection performance is changed into a linear value for operation, then gain the information measurement matrix among sensors and targets or detection cell, finally transform the optimization problem into a linear programming to solve. The base of spatial-temporal allocation is the relationship that sensors' different ability from the object in the combat field, so the allocation result must be update terminal by the change of operation platform. In this way, a whole sensor system with a high performance consists of individual sensors.
机译:本文侧重于多战斗机合作检测中传感器的空间时间分配。必须有效地协调空中传感器以检测战地情况,以完成将被视为获得现场信息的主要设施的操作。根据检测信息和传感器性能之间的关系,提出了一种完全通过线性编程的分配方法来提高传感器的能力。首先,传感器检测性能的参数被改变为操作的线性值,然后在传感器和目标或检测单元之间获得信息测量矩阵,最终将优化问题转换为用于解决的线性编程。空间 - 时间分配的基础是传感器从对象中的对象中的不同能力的关系,因此分配结果必须通过操作平台的变化来更新终端。以这种方式,具有高性能的整个传感器系统包括单个传感器。

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