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Cited 3 time in webofscience Cited 4 time in scopus
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FUSION OF DRSSI AND AOA FOR AERIAL LOCALIZATION OF AN RF SOURCE WITH UNKNOWN TRANSMITTED POWER

Authors
Dehghan, SMM[Dehghan, Seyyed Mohammad Mehdi]Moradi, H[Moradi, Hadi]Shahabadi, M[Shahabadi, Mahmoud]Farmani, M[Farmani, Mojtaba]
Issue Date
2016
Publisher
ACTA PRESS
Keywords
Aerial localization; RF source; NLOS propagation; fusion; differential RSSI; AOA; particle filter; CRLB analysis
Citation
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, v.31, no.3, pp.156 - 165
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION
Volume
31
Number
3
Start Page
156
End Page
165
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/38728
DOI
10.2316/Journal.206.2016.3.206-4334
ISSN
0826-8185
Abstract
In this paper, the fusion of differential received strength signal indicator (DRSSI) and angle of arrival (AOA) for recursive localization of an RF source with unknown transmitted power in none line of sight (NLOS) condition has been introduced. Incorporating DRSSI observations with a low-resolution AOA sensor resolves the sign ambiguity problem and decreases the dependency of DRSSI-based approach to its waypoints pairing rule. Also, the fusion of these different sensors has been proposed to benefit from both DRSSI and AOA methods using their complementary performance in different propagation conditions. The better performance of this hybrid approach is proven using Cramer-Rao lower bound (CRLB) analysis. The proposed method has been implemented using particle filter due to non-linearity of the estimation, non-Gaussian term in AOA propagation, non-modelled non-linear dynamics in practical circumstances, and more robustness against the uncertainties in the propagation parameters. The results show that the proposed fusion approach has better accuracy than RSSI, AOA, or hybrid RSSI and AOA approaches, without adding significant computational load.
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