Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-target Joint Detection, Tracking and Classification Based on
  Generalized Bayesian Risk using Radar and ESM sensors   In this paper, a novel approach is proposed for multi-target joint detection,
tracking and classification based on the labeled random finite set and
generalized Bayesian risk using Radar and ESM sensors. A new Bayesian risk is
defined for the labeled random finite set variables involving the costs of
multi-target cardinality estimation (detection), state estimation (tracking)
and classification. The inter-dependence of detection, tracking and
classification is then utilized with the minimum Bayesian risk. Furthermore,
the conditional labeled multi-Bernoulli filter is developed to calculate the
estimates and costs for different hypotheses and decisions of target classes
using attribute and dynamical measurements. Moreover, the performance is
analyzed. The effectiveness and superiority of the proposed approach are
verified using numerical simulations.

13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex