Matches in SemOpenAlex for { <https://semopenalex.org/work/W4321482256> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4321482256 endingPage "7361" @default.
- W4321482256 startingPage "7345" @default.
- W4321482256 abstract "In some special scenarios, the merits of radar tracking may be lost due to great interference, while the passive acoustic signal can be detected. Then, fusing active radar and passive acoustic sensors can improve the tracking performance. However, a problem associated with the existing fusion approaches is that the measurements of radar and acoustic sensor assumed obtained simultaneously are actually from different emission times due to the significant acoustic propagation delay. Then, a sequential cubature Kalman filter (CKF) can be used for fusing heterogeneous sensors with delay. However, in sequential fusion, it is difficult to perform an accurate state prediction or retrodiction due to the unknown delay. Although the emission time is unknown, it satisfies the delay constraint. In view of this, we augment the delay constraint onto the motion equation to estimate the target state and emission time simultaneously. Then, two sequential fusion algorithms, called first-radar-then-acoustic fusion (FRTAF) and first-acoustic-then-radar fusion (FATRF), are developed. A wide range of simulations have been carried, and the performance of the FRTAF, FATRF, and single radar tracking is compared. Illustrative examples demonstrate that both two fusion algorithms outperform the track-to-track fusion (T2TF) and information matrix fusion (IMF) algorithms." @default.
- W4321482256 created "2023-02-23" @default.
- W4321482256 creator A5012080152 @default.
- W4321482256 creator A5088379917 @default.
- W4321482256 date "2023-04-01" @default.
- W4321482256 modified "2023-10-14" @default.
- W4321482256 title "Tracking With Sequentially Fused Radar and Acoustic Sensor Data With Propagation Delay" @default.
- W4321482256 cites W1531532259 @default.
- W4321482256 cites W1567526201 @default.
- W4321482256 cites W2014719503 @default.
- W4321482256 cites W2032498086 @default.
- W4321482256 cites W2054091988 @default.
- W4321482256 cites W2067845914 @default.
- W4321482256 cites W2083327590 @default.
- W4321482256 cites W2094148411 @default.
- W4321482256 cites W2096925798 @default.
- W4321482256 cites W2100971324 @default.
- W4321482256 cites W2102954042 @default.
- W4321482256 cites W2106860048 @default.
- W4321482256 cites W2121990344 @default.
- W4321482256 cites W2124202837 @default.
- W4321482256 cites W2129530323 @default.
- W4321482256 cites W2132695119 @default.
- W4321482256 cites W2144903371 @default.
- W4321482256 cites W2161312581 @default.
- W4321482256 cites W2737128717 @default.
- W4321482256 cites W2891646262 @default.
- W4321482256 cites W2915020586 @default.
- W4321482256 cites W2922317452 @default.
- W4321482256 cites W2963972845 @default.
- W4321482256 cites W2964812382 @default.
- W4321482256 cites W3011557943 @default.
- W4321482256 cites W4220966697 @default.
- W4321482256 doi "https://doi.org/10.1109/jsen.2023.3245651" @default.
- W4321482256 hasPublicationYear "2023" @default.
- W4321482256 type Work @default.
- W4321482256 citedByCount "0" @default.
- W4321482256 crossrefType "journal-article" @default.
- W4321482256 hasAuthorship W4321482256A5012080152 @default.
- W4321482256 hasAuthorship W4321482256A5088379917 @default.
- W4321482256 hasConcept C11413529 @default.
- W4321482256 hasConcept C138885662 @default.
- W4321482256 hasConcept C154945302 @default.
- W4321482256 hasConcept C157286648 @default.
- W4321482256 hasConcept C15744967 @default.
- W4321482256 hasConcept C158525013 @default.
- W4321482256 hasConcept C19417346 @default.
- W4321482256 hasConcept C2775936607 @default.
- W4321482256 hasConcept C32283439 @default.
- W4321482256 hasConcept C33954974 @default.
- W4321482256 hasConcept C41008148 @default.
- W4321482256 hasConcept C41895202 @default.
- W4321482256 hasConcept C554190296 @default.
- W4321482256 hasConcept C76155785 @default.
- W4321482256 hasConcept C79403827 @default.
- W4321482256 hasConceptScore W4321482256C11413529 @default.
- W4321482256 hasConceptScore W4321482256C138885662 @default.
- W4321482256 hasConceptScore W4321482256C154945302 @default.
- W4321482256 hasConceptScore W4321482256C157286648 @default.
- W4321482256 hasConceptScore W4321482256C15744967 @default.
- W4321482256 hasConceptScore W4321482256C158525013 @default.
- W4321482256 hasConceptScore W4321482256C19417346 @default.
- W4321482256 hasConceptScore W4321482256C2775936607 @default.
- W4321482256 hasConceptScore W4321482256C32283439 @default.
- W4321482256 hasConceptScore W4321482256C33954974 @default.
- W4321482256 hasConceptScore W4321482256C41008148 @default.
- W4321482256 hasConceptScore W4321482256C41895202 @default.
- W4321482256 hasConceptScore W4321482256C554190296 @default.
- W4321482256 hasConceptScore W4321482256C76155785 @default.
- W4321482256 hasConceptScore W4321482256C79403827 @default.
- W4321482256 hasFunder F4320321001 @default.
- W4321482256 hasFunder F4320322877 @default.
- W4321482256 hasIssue "7" @default.
- W4321482256 hasLocation W43214822561 @default.
- W4321482256 hasOpenAccess W4321482256 @default.
- W4321482256 hasPrimaryLocation W43214822561 @default.
- W4321482256 hasRelatedWork W2005974942 @default.
- W4321482256 hasRelatedWork W2012674040 @default.
- W4321482256 hasRelatedWork W2074335270 @default.
- W4321482256 hasRelatedWork W2127046325 @default.
- W4321482256 hasRelatedWork W2352003916 @default.
- W4321482256 hasRelatedWork W2370011792 @default.
- W4321482256 hasRelatedWork W2392181843 @default.
- W4321482256 hasRelatedWork W2392255944 @default.
- W4321482256 hasRelatedWork W2393334034 @default.
- W4321482256 hasRelatedWork W2474463264 @default.
- W4321482256 hasVolume "23" @default.
- W4321482256 isParatext "false" @default.
- W4321482256 isRetracted "false" @default.
- W4321482256 workType "article" @default.