Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Semidefinite programming based algorithms for sensor network localization
ACM Transactions on Sensor Networks (TOSN)
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Second-Order Cone Programming Relaxation of Sensor Network Localization
SIAM Journal on Optimization
Sensor self-localization with beacon position uncertainty
Signal Processing
IEEE Transactions on Signal Processing
Accurate distributed range-based positioning algorithm for wireless sensor networks
IEEE Transactions on Signal Processing
Efficient weighted multidimensional scaling for wireless sensor network localization
IEEE Transactions on Signal Processing
Handbook on Array Processing and Sensor Networks
Handbook on Array Processing and Sensor Networks
Refining inaccurate sensor positions using target at unknown location
Signal Processing
IEEE Transactions on Signal Processing
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Nonparametric belief propagation for self-localization of sensor networks
IEEE Journal on Selected Areas in Communications
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This paper addresses the problem of obtaining an efficient estimator for sensor node self-localization using time of arrival (TOA) measurements. A sequential scheme is proposed that consists of closed-form single node localization and sensor position refinement algorithms as primitive. The sequential scheme is able to locate sensor nodes with accuracy approaching the CRLB and it can be realized in both centralized and distributed manners. To combat the communication load for a large-scale network, a reduced-complexity version is also proposed with only slight degradation in the estimation accuracy.