Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Target tracking by time difference of arrival using recursive smoothing
Signal Processing
A constrained least squares approach to mobile positioning: algorithms and optimality
EURASIP Journal on Applied Signal Processing
Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems
IEEE Transactions on Wireless Communications
A stochastically stable solution to the problem of robocentric mapping
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Energy efficient transmission scheduling for infrastructure sensor nodes in location systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
Localization with sparse acoustic sensor network using UAVs as information-seeking data mules
ACM Transactions on Sensor Networks (TOSN)
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In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of arrival (TDOA) sensors. In particular, we formulate a constraint on the measurement errors which is then used along with constraint-based optimization tools in order to estimate the maximum likelihood values of the errors given an appropriate cost function. In particular we focus on deriving a localization algorithm for stationary target localization in the so-called adverse localization geometries where the relative positioning of the sensors and the target do not readily permit accurate or convergent localization using traditional approaches. We illustrate this point via simulation and we compare our approach to a number of different techniques that are discussed in the literature.