Indoor Wireless Localization of Uncooperative Sources Using a Ray Tracing Model

被引:0
|
作者
Clark, R. Trevor [1 ]
Engel, Andrew W. [1 ]
Shenk, Trey E. [1 ]
Sheen, David M. [1 ]
机构
[1] Pacific Northwest Natl Lab, Richland, WA 99352 USA
来源
2023 IEEE TOPICAL CONFERENCE ON WIRELESS SENSORS AND SENSOR NETWORKS, WISNET | 2023年
关键词
indoor source localization; Wireless InSite; received signal strength indicators (RSSI); TDOA; deep learning;
D O I
10.1109/WISNET56959.2023.10046209
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Indoor geolocation of radio frequency (RF) transmitters is challenging due to site-specific multipath effects, especially when the sources are uncooperative. A source being uncooperative means that a-priori the transmit time, location, and power are unknown. It is proposed to use a site-specific ray tracing model to generate realistic indoor RF responses, perform geolocation using multiple methods, and compare their performance. This work will look at two types of geolocation algorithms: (1) time-difference of arrival (TDOA) and (2) received signal strength Indicator (RSSI) fingerprinting or patternmatching-based methods. An indoor space will be simulated with a grid of fixed receivers and a grid of transmit locations using Remcom'sWireless InSite. Using the output of theWireless InSite simulation the response from any given transmit location can be generated and used to evaluate geolocation performance.
引用
收藏
页码:68 / 70
页数:3
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