Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A novel Algorithm for Optimal Placement of Multiple Inertial Sensors to
  Improve the Sensing Accuracy   This paper proposes a novel algorithm to determine the optimal placement of
redundant inertial sensors such as accelerometers and gyroscopes (gyros) for
increasing the sensing accuracy. In this paper, we have proposed a novel
iterative algorithm to find the optimal sensor configuration. The proposed
algorithm utilizes the majorization-minimization (MM) algorithm and the duality
principle to find the optimal configuration. Unlike the state-of-the-art which
are mainly geometrical in nature and restricted to certain noise statistics,
the proposed algorithm gives the exact positions of the sensors, and moreover,
the proposed algorithm is independent of the nature of the noise at different
sensors. The proposed alogrithm has been implemented and tested via numerical
simulation in the MATLAB. The simulation results show that the algorithm
converges to the optimal configurations and show the effectiveness of the
proposed algorithm.

33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio