论文标题
在多个有损通道上具有集体可观察性的最佳无偏线性传感器融合
Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with Collective Observability
论文作者
论文摘要
在本文中，我们考虑最佳的线性传感器融合，以根据有损耗通道传输的传感器数据获得线性过程的远程状态估计。任何传感器都没有局部可观察性保证。假定线性过程的状态是可以共同观察到的。我们改变了找到最佳线性传感器融合系数作为凸优化问题的问题，可以有效地解决。此外，对于最佳系数也得出了封闭形式的表达。提出了仿真结果，以说明开发算法的性能。
In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collectively observable. We transform the problem of finding the optimal linear sensor fusion coefficients as a convex optimization problem which can be efficiently solved. Moreover, the closed-form expression is also derived for the optimal coefficients. Simulation results are presented to illustrate the performance of the developed algorithm.
