TY - JOUR
T1 - A linear estimator for network localization using integrated RSS and AOA measurements
AU - Tomic, Slavisa
AU - Beko, Marko
AU - Tuba, Milan
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F00066%2F2013/PT#
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FSSI%2F0102%2F2017/PT#
info:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00325%2F2015%2FCP1275%2FCT0001/PT#
This work was supported by Fundacao para a Ciencia e a Tecnologia under Projects UID/MULTI/04111/0213, UID/MULTI/04111/0216.
The work of M. Tuba was supported by the Ministry of Education, Science and Technological Development of Republic of Serbia under Grant No. III-44006.
PY - 2019/3
Y1 - 2019/3
N2 - This letter addresses the problem of simultaneous localization of multiple targets in three-dimensional cooperative wireless sensor networks. To this end, integrated received signal strength and angle of arrival measurements are employed. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. Unlike the maximum likelihood estimator, which is highly non-convex and difficult to tackle directly, the derived estimator is quadratic and has a closed-form solution. Its computational complexity is linear in the number of connections and its accuracy surpasses the accuracy of existing ones in all considered scenarios.
AB - This letter addresses the problem of simultaneous localization of multiple targets in three-dimensional cooperative wireless sensor networks. To this end, integrated received signal strength and angle of arrival measurements are employed. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. Unlike the maximum likelihood estimator, which is highly non-convex and difficult to tackle directly, the derived estimator is quadratic and has a closed-form solution. Its computational complexity is linear in the number of connections and its accuracy surpasses the accuracy of existing ones in all considered scenarios.
KW - angle of arrival (AOA)
KW - Network localization
KW - received signal strength (RSS)
KW - weighted least squares (WLS)
UR - http://www.scopus.com/inward/record.url?scp=85061042581&partnerID=8YFLogxK
U2 - 10.1109/LSP.2019.2892225
DO - 10.1109/LSP.2019.2892225
M3 - Article
AN - SCOPUS:85061042581
SN - 1070-9908
VL - 26
SP - 405
EP - 409
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 3
M1 - 8607068
ER -