Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A shrinkage probability hypothesis density filter for multitarget
  tracking   In radar systems, tracking targets in low signal-to-noise ratio (SNR)
environments is a very important task. There are some algorithms designed for
multitarget tracking. Their performances, however, are not satisfactory in low
SNR environments. Track-before-detect (TBD) algorithms have been developed as a
class of improved methods for tracking in low SNR environments. However,
multitarget TBD is still an open issue. In this paper, multitarget TBD
measurements are modeled, and a highly efficient filter in the framework of
finite set statistics (FISST) is designed. Then, the probability hypothesis
density (PHD) filter is applied to multitarget TBD. Indeed, to solve the
problem of the target and noise not being separated correctly when the SNR is
low, a shrinkage-PHD filter is derived, and the optimal parameter for shrinkage
operation is obtained by certain optimization procedures. Through simulation
results, it is shown that our method can track targets with high accuracy by
taking advantage of shrinkage operations.

32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess