TY - GEN
T1 - Hybrid RSS/AoA-based target localization and tracking in wireless sensor networks
AU - Tomic, Slavisa
AU - Beko, Marko
AU - Dinis, Rui
N1 - This work was partially supported by Fundação para a Ciência e a Tecnologia under Programa Investigador FCT (Grant IF/00325/2015), Project UID/EEA/50008/2013, Project PEst-OE/EEI/UI0066/2014 and Project UID/EEA/50009/2013. The research of Slavisa Tomic was supported by Fundação para a Ciência e a Tecnologia under the grant SFRH/BD/91126/2012.
PY - 2018
Y1 - 2018
N2 - This paper presents a brief overview of recently developed algorithms for target localization and tracking using combined angle of arrival (AoA) and received signal strength (RSS) observations. Due to the non-linearity and non-convexity of the problem at hand, our main focus here is on the estimators that solve the localization problem by transforming it into more suitable frameworks. In other words, these estimators share the main objective in which the original problem is approximated by another (possibly convex) one whose solution can be readily found. Different convex relaxation techniques are described, and the paper presents recent advancement of the techniques in the sense of both computational complexity and localization accuracy.
AB - This paper presents a brief overview of recently developed algorithms for target localization and tracking using combined angle of arrival (AoA) and received signal strength (RSS) observations. Due to the non-linearity and non-convexity of the problem at hand, our main focus here is on the estimators that solve the localization problem by transforming it into more suitable frameworks. In other words, these estimators share the main objective in which the original problem is approximated by another (possibly convex) one whose solution can be readily found. Different convex relaxation techniques are described, and the paper presents recent advancement of the techniques in the sense of both computational complexity and localization accuracy.
KW - Angle of arrival (AoA)
KW - Received signal strength (RSS)
KW - Target localization and tracking
KW - Wireless sensor network (WSN)
UR - http://www.scopus.com/inward/record.url?scp=85046552498&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-78574-5_18
DO - 10.1007/978-3-319-78574-5_18
M3 - Conference contribution
AN - SCOPUS:85046552498
SN - 978-3-319-78573-8
T3 - IFIP Advances in Information and Communication Technology
SP - 185
EP - 201
BT - Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
A2 - Camarinha-Matos, L. M.
A2 - AduKankam, K. O.
A2 - Julashokri, M.
PB - Springer New York LLC
CY - Cham
T2 - 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
Y2 - 2 May 2018 through 4 May 2018
ER -