Matches in SemOpenAlex for { <https://semopenalex.org/work/W2918563407> ?p ?o ?g. }
- W2918563407 endingPage "28136" @default.
- W2918563407 startingPage "28124" @default.
- W2918563407 abstract "Localization is one of the most important topics of the cyber-physical system. In the last decades, much attention has been paid to the precise localization and performance evaluation in wireless sensor networks. The inertial measurement unit (IMU) and time-of-arrival (TOA) fusion is a state-of-the-art method to solve the accumulative error and drifting problem faced by the sole IMU positioning and navigation method. Many of the existing studies are based on optimization. However, they usually face problems of non-convexity of the objective function, falling into local optimum, and the requirements for the prior/posterior probability distribution of measured values. All these reasons limit its practical applications toward accurate target tracking. This paper presents a Chebyshev-center-based optimization method. Geometrically considering the real position of the target, it aims at improving the target tracking accuracy. Cramér-Rao lower bound (CRLB) and posterior CRLB for IMU/TOA fusion are derived to characterize both the spatial and temporal localization performance of the proposed fusion method. The simulation results show that the proposed fusion method in this paper has obvious spatial-temporal performance advantages in theory. Practical use cases are also conducted, and the experimental results show that the proposed method significantly decreases the drift errors and has a lower tracking error compared with the state of the art." @default.
- W2918563407 created "2019-03-11" @default.
- W2918563407 creator A5035752099 @default.
- W2918563407 creator A5045386938 @default.
- W2918563407 creator A5045777582 @default.
- W2918563407 creator A5049419323 @default.
- W2918563407 creator A5053533157 @default.
- W2918563407 creator A5066602150 @default.
- W2918563407 date "2019-01-01" @default.
- W2918563407 modified "2023-10-16" @default.
- W2918563407 title "Optimal Estimation and Fundamental Limits for Target Localization Using IMU/TOA Fusion Method" @default.
- W2918563407 cites W1578518384 @default.
- W2918563407 cites W1649579452 @default.
- W2918563407 cites W1972580474 @default.
- W2918563407 cites W1997300219 @default.
- W2918563407 cites W1998398269 @default.
- W2918563407 cites W2006641107 @default.
- W2918563407 cites W2012197287 @default.
- W2918563407 cites W2017230299 @default.
- W2918563407 cites W2024817510 @default.
- W2918563407 cites W2038946940 @default.
- W2918563407 cites W2098559306 @default.
- W2918563407 cites W2104130465 @default.
- W2918563407 cites W2108941477 @default.
- W2918563407 cites W2120350100 @default.
- W2918563407 cites W2124178852 @default.
- W2918563407 cites W2151939695 @default.
- W2918563407 cites W2168210109 @default.
- W2918563407 cites W2313023344 @default.
- W2918563407 cites W2345032261 @default.
- W2918563407 cites W2461334587 @default.
- W2918563407 cites W2471663358 @default.
- W2918563407 cites W2500544719 @default.
- W2918563407 cites W2507251098 @default.
- W2918563407 cites W2518937691 @default.
- W2918563407 cites W2531894772 @default.
- W2918563407 cites W2559831896 @default.
- W2918563407 cites W2560705922 @default.
- W2918563407 cites W2578329429 @default.
- W2918563407 cites W2580084284 @default.
- W2918563407 cites W2592770378 @default.
- W2918563407 cites W2593259116 @default.
- W2918563407 cites W2747745953 @default.
- W2918563407 cites W2759954744 @default.
- W2918563407 cites W2783700824 @default.
- W2918563407 cites W2785808735 @default.
- W2918563407 cites W3099787110 @default.
- W2918563407 cites W3124413522 @default.
- W2918563407 cites W4250589301 @default.
- W2918563407 doi "https://doi.org/10.1109/access.2019.2902127" @default.
- W2918563407 hasPublicationYear "2019" @default.
- W2918563407 type Work @default.
- W2918563407 sameAs 2918563407 @default.
- W2918563407 citedByCount "18" @default.
- W2918563407 countsByYear W29185634072019 @default.
- W2918563407 countsByYear W29185634072020 @default.
- W2918563407 countsByYear W29185634072021 @default.
- W2918563407 countsByYear W29185634072022 @default.
- W2918563407 countsByYear W29185634072023 @default.
- W2918563407 crossrefType "journal-article" @default.
- W2918563407 hasAuthorship W2918563407A5035752099 @default.
- W2918563407 hasAuthorship W2918563407A5045386938 @default.
- W2918563407 hasAuthorship W2918563407A5045777582 @default.
- W2918563407 hasAuthorship W2918563407A5049419323 @default.
- W2918563407 hasAuthorship W2918563407A5053533157 @default.
- W2918563407 hasAuthorship W2918563407A5066602150 @default.
- W2918563407 hasBestOaLocation W29185634071 @default.
- W2918563407 hasConcept C10138342 @default.
- W2918563407 hasConcept C11413529 @default.
- W2918563407 hasConcept C154945302 @default.
- W2918563407 hasConcept C15744967 @default.
- W2918563407 hasConcept C162324750 @default.
- W2918563407 hasConcept C163150518 @default.
- W2918563407 hasConcept C167928553 @default.
- W2918563407 hasConcept C19417346 @default.
- W2918563407 hasConcept C198082294 @default.
- W2918563407 hasConcept C2775936607 @default.
- W2918563407 hasConcept C31972630 @default.
- W2918563407 hasConcept C33954974 @default.
- W2918563407 hasConcept C41008148 @default.
- W2918563407 hasConcept C4978587 @default.
- W2918563407 hasConcept C555944384 @default.
- W2918563407 hasConcept C60229501 @default.
- W2918563407 hasConcept C76155785 @default.
- W2918563407 hasConcept C79061980 @default.
- W2918563407 hasConceptScore W2918563407C10138342 @default.
- W2918563407 hasConceptScore W2918563407C11413529 @default.
- W2918563407 hasConceptScore W2918563407C154945302 @default.
- W2918563407 hasConceptScore W2918563407C15744967 @default.
- W2918563407 hasConceptScore W2918563407C162324750 @default.
- W2918563407 hasConceptScore W2918563407C163150518 @default.
- W2918563407 hasConceptScore W2918563407C167928553 @default.
- W2918563407 hasConceptScore W2918563407C19417346 @default.
- W2918563407 hasConceptScore W2918563407C198082294 @default.
- W2918563407 hasConceptScore W2918563407C2775936607 @default.
- W2918563407 hasConceptScore W2918563407C31972630 @default.
- W2918563407 hasConceptScore W2918563407C33954974 @default.
- W2918563407 hasConceptScore W2918563407C41008148 @default.