Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cooperative Localization for Mobile Networks: A Distributed Belief
  Propagation - Mean Field Message Passing Algorithm   We propose a hybrid message passing method for distributed cooperative
localization and tracking of mobile agents. Belief propagation and mean field
message passing are employed for, respectively, the motion-related and
measurement-related part of the factor graph. Using a Gaussian belief
approximation, only three real values per message passing iteration have to be
broadcast to neighboring agents. Despite these very low communication
requirements, the estimation accuracy can be comparable to that of
particle-based belief propagation.

14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org