多有损信道下集体可观测的最优无偏线性传感器融合
Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with Collective Observability
摘要：
在本文中，我们考虑最佳的线性传感器融合获得远程状态估计的线性过程的传感器数据通过有损信道传输的基础上。对于任何传感器都没有局部可观测性保证。假设线性过程的状态是集体可观测的。我们将寻找最佳线性传感器融合系数的问题转化为一个凸优化问题，可以有效地解决。此外，封闭形式的表达式也推导出的最佳系数。仿真结果表明了该算法的有效性。
英文摘要：
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.
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