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Distributed RSS-AoA Based Localization with Unknown Transmit Powers

Tomic, S. ; Beko, M.B. ; Dinis, R.

IEEE Wireless Communications Letters Vol. 5, Nº 4, pp. 392 - 395, August, 2016.

ISSN (print): 2162-2337
ISSN (online):

Scimago Journal Ranking: 0,67 (in 2016)

Digital Object Identifier: 10.1109/LWC.2016.2567394

This letter addresses hybrid range/angle based target
localization problem in a cooperative 3-D wireless sensor
network (WSN) where no central processor is available. Due
to battery exhaust over time, sensors’ transmit powers are
assumed different and unknown. Range and angle measurements
are drawn from the received signal strength (RSS) and angle-of-
arrival models, respectively. By exploiting the measurement
models, we derive a novel local-estimator by which each target
updates its own estimate, based on the least squares (LS)
criterion. Second-order cone relaxation (SOCR) technique is then
applied to approximately solve the attained problem due to its
non-convex nature. Our simulation results show that the proposed
algorithm efficiently solves the localization problem.