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

Nowak T, Hartmann M, Tröger HM, Patino-Studencki L, Thielecke J (2017)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

City/Town: Paris, France

Conference Proceedings Title: ICC2017: WT03-5th IEEE ICC Workshop on Advances in Network Localization and Navigation (ANLN) (ICC2017-WT03)

Event location: Paris

DOI: 10.1109/ICCW.2017.7962793

Abstract

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 simulation. Furthermore, the impact on the position estimation with recursive Bayesian filters is assessed. Simulations show promising results. Errors arising from multipath propagation can be minimized to a large extent.

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How to cite

APA:

Nowak, T., Hartmann, M., Tröger, H.-M., Patino-Studencki, L., & Thielecke, J. (2017). Probabilistic Multipath Mitigation in RSSI-based Direction-of-Arrival Estimation. In ICC2017: WT03-5th IEEE ICC Workshop on Advances in Network Localization and Navigation (ANLN) (ICC2017-WT03). Paris: Paris, France.

MLA:

Nowak, Thorsten, et al. "Probabilistic Multipath Mitigation in RSSI-based Direction-of-Arrival Estimation." Proceedings of the 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017, Paris Paris, France, 2017.

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