Balanced sensor management across multiple time instances via l-1/l-infinity norm minimization

Cristian Rusu; John Thompson; Neil M. Robertson

ICASSP 2017accepted0 citations

Balanced sensor management across multiple time instances via l-1/l-infinity norm minimization

Cristian Rusu, John Thompson, Neil M. Robertson

Abstract

In this paper, we propose a solution to the sensor management problem over multiple time instances that balances the accuracy of the sensor network estimation with its utilization. We show how this problem reduces to a binary optimization problem for which we give a convex relaxation based solution that involves the minimization of a regularized ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> reweighted ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> norm. We show experimentally the behavior of the proposed algorithm and compare it with previous methods from the literature.

BibTeX

@inproceedings{icassp2017_balancedsensorma,
  title = {Balanced sensor management across multiple time instances via l-1/l-infinity norm minimization},
  author = {Cristian Rusu and John Thompson and Neil M. Robertson},
  booktitle = {ICASSP 2017},
  year = {2017}
}