arrow
返回

Probabilistic Localization With Gateway Location Errors and Multiple Transmissions

delete2024-03-15
delete0
PRE
AI
N
Nhat H. Pham
E
Eric Salt *
H
Ha H. Nguyen
DOI:10.1109/JIOT.2023.3328544delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
This article investigates the effect of uncertainty in the positions of a set of spatially separated receivers (gateways) that are used to localize a device (target) that transmits a burst signal intermittently. Such systems have applications in radar, sonar, and wireless sensor networks, and have been extensively studied, at least in the context of point estimation. This article extends the limited work on region estimation to include the effect of uncertainty in the locations of the gateways on the probability that the target is in a specified region. Specifically, this article extends previous work that found the a posteriori probability density function (pdf) of the target's coordinates from estimates of the times the transmitted message arrives at the receivers [Time of Arrivals (ToA)] under the assumption the positions of the gateways were known exactly. The expression for the a posteriori pdf is redeveloped to include the uncertainty in the measurement of the receivers' positions. Three practical scenarios are considered: 1) the target transmits a single message and the gateways measure the ToAs as well as their own positions; 2) the target transmits multiple messages and the gateways measure the ToAs as well as their own positions upon each reception; and 3) the target transmits multiple messages and the gateways measure the ToAs upon each reception, but the positions of the gateways are measured once, at the time of installation. Various numerical examples are given to corroborate, provide insights, and illustrate the utility of the obtained results.
Keyword:
Credible region
gateway errors
localization
point estimation
region estimation
Time-Difference-of-Arrival (TDoA) measurements
Time-of-Arrival (ToA) measurements
wireless sensor networks

期刊

IEEE Internet of Things Journal 封面图
IEEE Internet of Things Journal
IF:
8.9
论文数:
1.4W
被引数:
7.8W

机构

U
University of Saskatchewan
学者数:
1.5W
论文数: 1.4W
被引数: 1.7W
引用论文

引用论文

err分享
err收藏
err分享
err收藏
学者 查看更多内容