Conference contribution
(Original article)


A Path Loss and Fading Model for RSSI-based Localization in Forested Areas


Publication Details
Author(s): Nowak T, Hartmann M, Zech T, Thielecke J
Publication year: 2016
Conference Proceedings Title: IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2016)

Event details
Event: IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2016)
Event location: Cairns
Start date of the event: 19/09/2016
End date of the event: 23/09/2016
Language: English

Abstract

Location-awareness is a prerequisite for many applications, today. Demanding applications,
e.g. wildlife monitoring, rely on precise location information. A prospective approach tracking tiny
lightweight animals is to capture field-strength measurements utilizing a wireless sensor network. Apriori knowledge of propagation channel characteristics is essential for precise localization. Hence, in this paper a channel model for forested areas is proposed. Therefore, a reference set of field-strength measurements has been evaluated and a channel model has been derived from these measurements. Besides path loss and fading, also cross fading between two directional antennas has been characterized. Cross-fading between these antennas is crucial for RSSI-based direction finding by directional antennas. Furthermore, the impact of incorrect modeling measurement uncertainties on the position estimation error is assessed.



How to cite
APA: Nowak, T., Hartmann, M., Zech, T., & Thielecke, J. (2016). A Path Loss and Fading Model for RSSI-based Localization in Forested Areas. In IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2016).

MLA: Nowak, Thorsten, et al. "A Path Loss and Fading Model for RSSI-based Localization in Forested Areas." Proceedings of the IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (IEEE-APWC 2016), Cairns 2016.

BibTeX: Download
Share link
Last updated on 2017-09-22 at 02:43
PDF downloaded successfully