A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection. [PDF]
Deng Z, Ma Z, Luo H, Guo J, Tian Z.
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Where's Whaledo: A software toolkit for array localization of animal vocalizations. [PDF]
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Novel Response Surface Technique for Composite Structure Localization Using Variable Acoustic Emission Velocity. [PDF]
Bhandari B, Maung PT, Prusty GB.
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Fusion of Land-Based and Satellite-Based Localization Using Constrained Weighted Least Squares. [PDF]
Zhao P, Jiang L, Tang T, Wu Z, Wang D.
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Multi-Epoch Differential Pseudorange Joint Positioning Using GNSS Signals and Terrestrial Cellular Signals-of-Opportunity. [PDF]
Zhang P, Jin T, Chakwizira J, Wang Y.
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Deterministic Localization for Fully Automatic Operation: A Survey and Experiments. [PDF]
He WN, Huang XL.
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A Co-Localization Algorithm for Underwater Moving Targets with an Unknown Constant Signal Propagation Speed and Platform Errors. [PDF]
Liu Y, He L, Fan G, Wang X, Zhang Y.
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An Efficient Hybrid Multi-Station TDOA and Single-Station AOA Localization Method
IEEE Transactions on Wireless Communications, 2023Multi-station passive localization algorithms based on hybrid Time Difference of Arrival (TDOA) and Angle of Arrival (AOA) have been thoroughly studied.
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A Moving Source Localization Method Based on TDOA and TDOA Rate
2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021In this paper, a novel moving source localization method based on arrival time measurement is proposed. Firstly, the time difference of arrival (TDOA) and its change rate are estimated from the time of arrival (TOA) sequences. Then an initial solution of position and velocity is obtained by applying the well-known two-step weighted least-squares (TSWLS)
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