Abstract

In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer–Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, the loss in performance due to Rayleigh fading with known phase is shown to be about 5dB compared to the case with no fading. Unknown phase causes an additional 1dB loss. The maximum likelihood estimators are also derived. In an alternative distributed detection formulation, each anchor receives a noisy signal from a node with known location if the node is active. Each anchor makes a decision as to whether the node is active or not and transmits a bit to a fusion center once a decision is made. The fusion center combines all the decisions and uses a design parameter to make the final decision. We derive optimal thresholds and calculate the probabilities of false alarm and detection under different assumptions on the knowledge of channel information. Simulations corroborate our analytical results.

Original languageEnglish (US)
Pages (from-to)62-74
Number of pages13
JournalPhysical Communication
Volume32
DOIs
StatePublished - Feb 1 2019

Fingerprint

Anchors
Fading channels
Wireless sensor networks
Fusion reactions
Rayleigh fading
Maximum likelihood
Hardware
Communication
Time of arrival

Keywords

  • Distributed detection
  • Fading channels
  • Location estimation
  • Narrowband signals
  • Performance bounds
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Location estimation and detection in wireless sensor networks in the presence of fading. / Zhang, Xue; Tepedelenlioglu, Cihan; Banavar, Mahesh K.; Spanias, Andreas; Muniraju, Gowtham.

In: Physical Communication, Vol. 32, 01.02.2019, p. 62-74.

Research output: Contribution to journalArticle

@article{f696302b1e6349bbbe5bc7074cac31ca,
title = "Location estimation and detection in wireless sensor networks in the presence of fading",
abstract = "In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer–Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, the loss in performance due to Rayleigh fading with known phase is shown to be about 5dB compared to the case with no fading. Unknown phase causes an additional 1dB loss. The maximum likelihood estimators are also derived. In an alternative distributed detection formulation, each anchor receives a noisy signal from a node with known location if the node is active. Each anchor makes a decision as to whether the node is active or not and transmits a bit to a fusion center once a decision is made. The fusion center combines all the decisions and uses a design parameter to make the final decision. We derive optimal thresholds and calculate the probabilities of false alarm and detection under different assumptions on the knowledge of channel information. Simulations corroborate our analytical results.",
keywords = "Distributed detection, Fading channels, Location estimation, Narrowband signals, Performance bounds, Wireless sensor networks",
author = "Xue Zhang and Cihan Tepedelenlioglu and Banavar, {Mahesh K.} and Andreas Spanias and Gowtham Muniraju",
year = "2019",
month = "2",
day = "1",
doi = "10.1016/j.phycom.2018.10.010",
language = "English (US)",
volume = "32",
pages = "62--74",
journal = "Physical Communication",
issn = "1874-4907",
publisher = "Elsevier",

}

TY - JOUR

T1 - Location estimation and detection in wireless sensor networks in the presence of fading

AU - Zhang, Xue

AU - Tepedelenlioglu, Cihan

AU - Banavar, Mahesh K.

AU - Spanias, Andreas

AU - Muniraju, Gowtham

PY - 2019/2/1

Y1 - 2019/2/1

N2 - In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer–Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, the loss in performance due to Rayleigh fading with known phase is shown to be about 5dB compared to the case with no fading. Unknown phase causes an additional 1dB loss. The maximum likelihood estimators are also derived. In an alternative distributed detection formulation, each anchor receives a noisy signal from a node with known location if the node is active. Each anchor makes a decision as to whether the node is active or not and transmits a bit to a fusion center once a decision is made. The fusion center combines all the decisions and uses a design parameter to make the final decision. We derive optimal thresholds and calculate the probabilities of false alarm and detection under different assumptions on the knowledge of channel information. Simulations corroborate our analytical results.

AB - In this paper, localization using narrowband communication signals are considered in the presence of fading channels with time of arrival measurements. When narrowband signals are used for localization, due to existing hardware constraints, fading channels play a crucial role in localization accuracy. In a location estimation formulation, the Cramer–Rao lower bound for localization error is derived under different assumptions on fading coefficients. For the same level of localization accuracy, the loss in performance due to Rayleigh fading with known phase is shown to be about 5dB compared to the case with no fading. Unknown phase causes an additional 1dB loss. The maximum likelihood estimators are also derived. In an alternative distributed detection formulation, each anchor receives a noisy signal from a node with known location if the node is active. Each anchor makes a decision as to whether the node is active or not and transmits a bit to a fusion center once a decision is made. The fusion center combines all the decisions and uses a design parameter to make the final decision. We derive optimal thresholds and calculate the probabilities of false alarm and detection under different assumptions on the knowledge of channel information. Simulations corroborate our analytical results.

KW - Distributed detection

KW - Fading channels

KW - Location estimation

KW - Narrowband signals

KW - Performance bounds

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=85057225341&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85057225341&partnerID=8YFLogxK

U2 - 10.1016/j.phycom.2018.10.010

DO - 10.1016/j.phycom.2018.10.010

M3 - Article

VL - 32

SP - 62

EP - 74

JO - Physical Communication

JF - Physical Communication

SN - 1874-4907

ER -