Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Linear TDOA-based Measurements for Distributed Estimation and Localized
  Tracking   We propose a linear time-difference-of-arrival (TDOA) measurement model to
improve \textit{distributed} estimation performance for localized target
tracking. We design distributed filters over sparse (possibly large-scale)
communication networks using consensus-based data-fusion techniques. The
proposed distributed and localized tracking protocols considerably reduce the
sensor network's required connectivity and communication rate. We, further,
consider $\kappa$-redundant observability and fault-tolerant design in case of
losing communication links or sensor nodes. We present the minimal conditions
on the remaining sensor network (after link/node removal) such that the
distributed observability is still preserved and, thus, the sensor network can
track the (single) maneuvering target. The motivation is to reduce the
communication load versus the processing load, as the computational units are,
in general, less costly than the communication devices. We evaluate the
tracking performance via simulations in MATLAB.

23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat