One-bit Decentralized Detection with a Rao Test for Multisensor Fusion
Information Theory
2013-08-15 v1 math.IT
Abstract
In this letter we propose the Rao test as a simpler alternative to the generalized likelihood ratio test (GLRT) for multisensor fusion. We consider sensors observing an unknown deterministic parameter with symmetric and unimodal noise. A decision fusion center (DFC) receives quantized sensor observations through error-prone binary symmetric channels and makes a global decision. We analyze the optimal quantizer thresholds and we study the performance of the Rao test in comparison to the GLRT. Also, a theoretical comparison is made and asymptotic performance is derived in a scenario with homogeneous sensors. All the results are confirmed through simulations.
Cite
@article{arxiv.1306.6141,
title = {One-bit Decentralized Detection with a Rao Test for Multisensor Fusion},
author = {D. Ciuonzo and G. Papa and G. Romano and P. Salvo Rossi and P. K. Willett},
journal= {arXiv preprint arXiv:1306.6141},
year = {2013}
}
Comments
To appear in IEEE Signal Processing Letters