272 / 2020-01-05 04:30:00
Multi-bit Decentralized Detection of a Non-cooperative Moving Target Through a Generalized Rao Test
Draft Accepted
Xu Cheng / Armed Police College of PAP, China
Domenico Ciuonzo / University of Naples Federico II, IT, Italy
Pierluigi Salvo / Norwegian University of Science and Technology, Norway
Xiaodong Wang / Columbia University, USA
Longfei Shi / National University of Defense Technology, China
We consider decentralized detection (DD) of an uncooperative moving target in zero-mean unimodal noise via wireless sensor networks (WSNs). To cope with energy and bandwidth constraints, we assume that sensors adopt multilevel quantization. The data are then transmitted through binary symmetric channels to a fusion center (FC), where a generalized Rao (G-Rao) test is proposed as a simpler alternative to the generalized likelihood ratio test (GLRT). Further, the asymptotic performance of a trajectory-clairvoyant (multi-bit) Rao test is leveraged to develop an offline and per-sensor quantizer design. Simulations show the effectiveness of G-Rao test in comparison to GLRT and the detection gain obtained by threshold optimization.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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