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Multi-Sensor Task Assignment Using Linear Matrix Inequalities in the Multiple Target Tracking Problem ?

机译:多目标跟踪问题中使用线性矩阵不等式的多传感器任务分配

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Due to significant advancements in embedded systems, sensor devices and wireless communication technology, sensor networks have been attracting widespread attention in areas such as target tracking, monitoring, and surveillance. Technological advancements made it possible to deploy a large number of inexpensive but technically advanced sensors to cover wide areas. However, when a tracking system has to track a large number of targets, the computation and communication loads arise. In this paper we propose a task assignment algorithm based on linear matrix inequalities (LMI) to reduce the computational complexity and communication load. Simulation results and a comparison with the Kalman filtering strategy confirm the suitability of the approach.
机译:由于嵌入式系统,传感器设备和无线通信技术的重大进步,传感器网络已在目标跟踪,监视和监视等领域引起广泛关注。技术的进步使得可以部署大量廉价但技术先进的传感器来覆盖广阔的领域。但是,当跟踪系统必须跟踪大量目标时,会产生计算和通信负担。在本文中,我们提出了一种基于线性矩阵不等式(LMI)的任务分配算法,以减少计算复杂性和通信负担。仿真结果以及与卡尔曼滤波策略的比较证实了该方法的适用性。

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