IEEE Transactions on Signal Processing
Accurate distributed range-based positioning algorithm for wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Successive and asymptotically efficient localization of sensor nodes in closed-form
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Joint time synchronization and localization of an unknown node in wireless sensor networks
IEEE Transactions on Signal Processing
Mobile emitter geolocation and tracking using TDOA and FDOA measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Refining inaccurate sensor positions using target at unknown location
Signal Processing
Accurate sequential self-localization of sensor nodes in closed-form
Signal Processing
A flexible semi-definite programming approach for source localization problems
Digital Signal Processing
Mime: compact, low power 3D gesture sensing for interaction with head mounted displays
Proceedings of the 26th annual ACM symposium on User interface software and technology
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The accuracy of a source location estimate is very sensitive to the accurate knowledge of receiver locations. This paper performs analysis and develops a solution for locating a moving source using time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements in the presence of random errors in receiver locations. The analysis starts with the Crameacuter-Rao lower bound (CRLB) for the problem, and derives the increase in mean-square error (MSE) in source location estimate if the receiver locations are assumed correct but in fact have error. A solution is then proposed that takes the receiver error into account to reduce the estimation error, and it is shown analytically, under some mild approximations, to achieve the CRLB accuracy for far-field sources. The proposed solution is closed form, computationally efficient, and does not have divergence problem as in iterative techniques. Simulations corroborate the theoretical results and the good performance of the proposed method