Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with
  Collective Observability   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.

24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ