Probabilistic Multipath Mitigation in RSSI-based Direction-of-Arrival Estimation

被引：0

作者：

Nowak, Thorsten ^{[1
]}

Hartmann, Markus ^{[1
]}

Troeger, Hans-Martin ^{[1
]}

Patino-Studencki, Lucila ^{[1
]}

Thielecke, Jorn ^{[1
]}

机构：

[1] Univ Erlangen Nurnberg, Inst Informat Technol Commun Elect, Erlangen, Germany

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2017年

关键词：

BATS;

D O I：

暂无

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：

Nowadays, wireless sensor networks (WSNs) have become omnipresent. Also location-based services become more and more popular. In this context, energy-and location-awareness are essential properties of modern sensor networks. Addressing low-power positioning, received signal strength indicator (RSSI)-based direction finding is a prospective approach for WSNs providing location-based services. However, like with all radio-based localization techniques, RSSI-based direction finding is prone to multipath propagation. In this paper, a probabilistic approach to multipath mitigation in RSSI-based direction estimation is presented. The presented approach is verified by Monte Carlo simulations. Simulations reveal the capability of zero-mean estimates for arrival angle in presence of multipath. Furthermore, the impact on the position estimation with recursive Bayesian filters is assessed. Trajectory estimation in a multipath setting shows promising results. Errors arising from multipath propagation can be minimized to a large extent.

引用

页码：1024 / 1029

页数：6