Channel-Aware Direct Localization Using One-Bit Quantized Measurements

Guoxin Zhang, Yunfei Liang, Wei Yi, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney

Research output: Chapter in Book/Entry/PoemConference contribution

1 Scopus citations

Abstract

To address the constraints of limited transmission bandwidth and power consumption in wireless sensor networks (WSNs), this paper proposes a direct localization method using one-bit quantized measurements. Specifically, the received signal is quantized into its one bit version at the local sensor before being transmitted to the fusion center (FC) for target localization. Recognizing the imperfections of the wireless channel between the sensors and the FC, a channel-aware position estimator using one-bit quantized measurements is proposed. Furthermore, the Cramér-Rao lower bound (CRLB) of the proposed channel-aware estimator is also derived to theoretically assess the localization performance. Simulation results demonstrate that the proposed channel-aware position estimator approaches its theoretical performance bounds and is superior compared to that of the channel-unaware estimator.

Original languageEnglish (US)
Title of host publication32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages842-846
Number of pages5
ISBN (Electronic)9789464593617
StatePublished - 2024
Event32nd European Signal Processing Conference, EUSIPCO 2024 - Lyon, France
Duration: Aug 26 2024Aug 30 2024

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference32nd European Signal Processing Conference, EUSIPCO 2024
Country/TerritoryFrance
CityLyon
Period8/26/248/30/24

Keywords

  • Cramér-Rao lower bound (CRLB)
  • direct localization
  • maximum-likelihood estimation
  • quantization

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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