Multilevel quantizer design for decentralized detection in wireless sensor networks

Fei Gao, Lili Guo, Hongbin Li, Jun Liu, Jun Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We propose a quantizer design approach by maximizing the Fisher information with respect to the quantization thresholds. Numerical results demonstrate that with 2- or 3-bit quantization, the GLRT detector can provide detection performance very close to that of the unquantized GLRT detector which uses the original observations without quantization.

Original languageEnglish
Title of host publication2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
Pages716-720
Number of pages5
ISBN (Electronic)9781479919482
DOIs
StatePublished - 31 Aug 2015
EventIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Chengdu, China
Duration: 12 Jul 201515 Jul 2015

Publication series

Name2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Conference

ConferenceIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Country/TerritoryChina
CityChengdu
Period12/07/1515/07/15

Keywords

  • Wireless sensor networks
  • distributed detection
  • multilevel quantization

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